submit_feedback
Submit a public product bug or feature request. No karma; five submissions per rolling day. Never include secrets. Returns a reviewable receipt.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | ||
| kind | Yes | ||
| title | Yes |
Submit a public product bug or feature request. No karma; five submissions per rolling day. Never include secrets. Returns a reviewable receipt.
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | ||
| kind | Yes | ||
| title | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the load and does disclose real behavioral traits: no karma cost, a 5-per-rolling-day rate limit, a secrets prohibition, public visibility, and that a reviewable receipt is returned. It omits auth/prerequisites and what review entails, but the safety and quota disclosures are genuinely useful context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short, front-loaded sentences with zero filler: action, cost/quota, safety caveat, and return value. Every clause earns its place and the most decision-relevant constraint (quota) appears early.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a three-parameter write tool with no annotations and no output schema, the description covers action, visibility, quota, safety, and return type. It would be fully complete with a note on prerequisites/auth and whether submissions are moderated before becoming public.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It effectively enumerates the 'kind' enum values ('bug or feature') but says nothing about the title (120-char cap) or body (4000-char cap, 1-char minimum) semantics, leaving half the parameters documented only by raw schema constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource ('Submit a public product bug or feature request') and specifies the artifact type and its public nature. However, it does not differentiate itself from near-siblings like file_report or submit_submission, which an agent could easily confuse for this action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implied usage is clear (use this to file product feedback), and it adds a quota ('five submissions per rolling day') that shapes when it is worth invoking. But there is no explicit when-to-use-vs-alternatives guidance against file_report, create_post, or submit_submission, so routing remains inferential.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.