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Prepare bug report

get_bug_report
Idempotent

Prepare a BUG REPORT for the user: it opens in Frapea (Problems → Create bug report) for them to read and save. The report itself is NOT returned to you — it would leave the user's machine before they have seen it. You get a summary: open problems, media counts, and how many of the user's own words remain in composition code. It contains versions, problems with engine details, the project's structure with names and texts replaced, provider files by public id, the user's own files only as encoding fingerprints, and motion code. timelineIds limits it to those timelines and what they nest.

Input Schema

NameRequiredDescriptionDefault
tokenYesThe session token `connect` returned. Pass it on every call — it says which browser to drive.
projectIdYesProject id from get_projects (must be open in the editor).
timelineIdsNoOnly these timelines and the timelines they nest (default: all).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes well beyond the annotations (readOnlyHint=false, idempotentHint=true, destructiveHint=false) by disclosing the side effect that a UI panel opens, why the report is withheld from the agent, and what sanitization occurs (names and texts replaced, user files reduced to encoding fingerprints). It also enumerates exactly what summary the caller receives, which is the key behavior for planning.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the key fact (report opens in the app, not returned), then the summary contents, then scoping. It is dense but each clause carries information; the long enumeration of report contents is the only mildly over-extended part.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description responsibly describes the returned summary and the privacy model. The one remaining gap is interaction flow: it does not say whether the call blocks while the user reads/saves, or whether a sibling like await_user_action is expected afterwards.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already explains token, projectId, and timelineIds including the nesting behavior. The description's closing sentence on timelineIds largely restates the schema rather than adding new semantics, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Prepare a BUG REPORT') and immediately clarifies the unusual mechanic that the report itself is opened in the Frapea UI rather than returned to the agent. This distinguishes it well from get_problems, which is never named, so sibling routing still requires inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer to call it when a user wants to file a bug, and the note that output goes into the app hints at the user-facing context. There is no explicit when-to-use/when-not, no mention of get_problems as the alternative for inspecting problems, and no statement of prerequisites beyond the schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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