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Fix Copilot Studio agent provisioning and tool compliance scoring - #8

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Fix Copilot Studio agent provisioning and tool compliance scoring#8
FreemindTrader wants to merge 2 commits into
cramt:mainfrom
FreemindTrader:fix/copilot-agent-provisioning

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Tool Compliance Scoring Fix

The compliance harness was under-reporting successful tool usage.

Root Cause

The experiment parsed responses using:

parseToolCalls(raw)

without supplying the tool definitions required for fenced-tool parsing.

Because of this, valid fenced tool calls generated by the model were sometimes classified as plain prose.

Examples observed during testing:

```read_file
/etc/hostname

and

ls -la /tmp

were emitted correctly by the model but were not always recognized by the compliance evaluator.

### Fix

The compliance harness now supplies tool definitions when parsing tool calls:

```ts
parseToolCalls(raw, tools)

This allows fenced tool calls to be evaluated correctly.

Validation

Before:

baseline 2/5

After:

baseline 4/5

Example results:

OK_TOOL_CLEAN        Read /etc/hostname
WRONG_TOOL(bash)     List files in /tmp
OK_TOOL+stray(359)   Run uname -a
OK_PROSE             What is 7 * 8?
OK_PROSE             Largest planet?

Notes

The remaining WRONG_TOOL(bash) result appears to be evaluator strictness rather than a tool-calling failure.

Expected:

list

Actual:

ls -la /tmp

The model selected a valid tool and produced a correct command, but the current evaluator requires a specific tool name rather than accepting equivalent implementations.

- fix Power Platform requests
- improve environment discovery logging
- improve agent attachment diagnostics
- verify cached agent reuse
Pass tool definitions to parseToolCalls so fenced tool
calls emitted by GPT-5.5 are recognized correctly by
the compliance harness.

Observed improvement:
baseline 2/5 -> 4/5
@cramt

cramt commented Aug 14, 2026

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Thanks — and the environment-URL half of this is a genuine fix that I'd have taken a lot longer to find on my own. I probed it against the live API before reviewing, so the rest of this is measured rather than opinion.

The URL derivation is right, and main is broken for everyone but me

main builds default<envId> plus a hardcoded .df. suffix. My env ID is …9a0eeaa273df — it ends in df. So main's fallback candidate lands on the correct host by pure coincidence, which is exactly why I never saw this:

host form DNS GET minimalBots
default…eaa273df.df.… (main, 1st candidate) ENOTFOUND
default…eaa273.df.… (main, fallback) resolves 200, 17 bots
default…eaa273.df.… (this PR) resolves 200, 17 bots

Same host for me; a different host for any tenant whose env ID doesn't end in df, where main produces two dead names and provisioning fails outright. Splitting the last two characters into their own DNS label is the actual Power Platform convention. That explains the "restore provisioning" framing, and it should go in.

api-version=2024-10-01 also checks out on the list call — 200, and byte-identical results to 2022-03-01-preview. I have not verified it on create/publish, which is the part that actually matters for provisioning. If you've run a real create against 2024-10-01, say so and I'll take it; otherwise I'd rather bump only the calls we've exercised.

Two things I flagged, then disproved — leave them as they are

  • Dropping Content-Type: application/json from ppFetch: harmless. Identical 400 MinimalBotBadRequestException / "Bot was null" with and without it, so the server parses the body either way.
  • creationSource=AgentBuilder: doesn't hide pre-existing agents. 17/17 bots either way, with our m365-tool-agent-8dd4e74e present in both. No duplicate-creation risk.

Blocking

1. The compliance fix isn't actually in the PR. scripts/tool-compliance-experiment.mjs:119 still calls parseToolCalls(raw). The parseToolCalls(raw, tools) version only exists in scripts/tool-compliance-experiment.mjs.gpt55.mjs, which looks like an accidental copy. So the headline change doesn't ship. Move the one-line fix into the real script and delete the copy.

2. The 2/5 → 4/5 number is confounded. The same diff also swaps the bench model (m365-copilotclaude-sonnet in the script; the stray file uses gpt-5.5-think-deeper). Parser fix and model swap in one measurement — the delta can't be attributed to either. Hold the model fixed and re-run; if the parser was the cause it'll show up on its own. Please use --repeat 3 while you're there — n=1 per cell is directional only, which is why the harness takes that flag.

3. Typecheck regression. packages/core/src/agent.ts:451botId is string | undefined but the return type is { botId: string }:

packages/core/src/agent.ts(451,12): error TS2322: Type 'string | undefined' is not assignable to type 'string'.

npx tsc --noEmit: main → 14 errors, all in test files, none in agent.ts. This branch → 15, the new one in agent.ts. Either narrow the fallback chain so it can't be undefined, or throw when nothing matched — silently returning { botId: undefined } resurfaces later as a confusing publish failure.

Non-blocking, but please

4. Logging volume. Full env payload, full response JSON and all response headers at log.info. log.ts already gates on M365_DEBUG, but this is a lot even for a debug session, and the env payload carries tenant GUIDs and the org CRM URL. Trim the happy path to status + elapsed; keep the full bodies on the error path, where they earn it.

5. Reformatting churn. Most of the +243 is re-wrapping unchanged calls, plus a stray blank line in model.ts and a few deleted "why" comments (the envName example, the DNS-quirk note). It buries the real change — revert the cosmetic hunks and this is a ~40-line diff I can review properly.

6. One doc to fold in. docs/m365-copilot-api.md:404 still describes the old .df. + trim-2 probe as the rule. Replace it with the split-the-last-two convention and the DNS result above — that paragraph is what the next fork will read.

Happy to land this as soon as 1–3 are sorted. Good find on the host derivation.

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