respond_to_reviewRecords the user's response to a review and returns the updated review state.
| Name | Required | Description | Default |
|---|---|---|---|
| message | No | The review response message | |
| response | Yes | The review response value | |
| review_id | Yes | The review identifier |
| Name | Required | Description | Default |
|---|---|---|---|
| review | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark this as a write operation, and the description adds that it records the response and returns the updated review state. It is consistent with the annotations and gives useful behavioral context without overstating side effects.
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?
The description is a single, front-loaded sentence with no filler. It states the action, the object, and the return behavior in a compact form.
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 small tool with full parameter schema coverage, annotations, and an output schema, the description supplies the essential purpose and return behavior. It is missing only explicit guidance about which sibling to prefer, but nothing critical for invoking it correctly is absent.
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 100%, so the description does not need to redefine parameters. It adds no extra semantic detail about review_id, response, or message beyond what the input schema already provides.
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?
The description names a concrete action ('Records'), a specific resource ('user's response to a review'), and the outcome ('returns the updated review state'). It is clearly about responding to a review, though it does not explicitly differentiate itself from sibling tools such as add_comment or reply_to_comment.
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?
The use case is implied by the phrase 'response to a review' and by the approve/request_changes enum in the schema, but the description never states when to choose it over alternatives or when not to use it. No sibling tool is referenced.
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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Most invention lifecycle tools are clearly distinct, but there are overlapping pairs: add_comment and reply_to_comment both handle replies to threads, and fetch overlaps with get_invention for invention content. These overlaps require careful reading of descriptions to select the right tool.
Tool names generally follow a snake_case verb_noun pattern like list_inventions, create_invention, and update_invention. A few deviations such as fetch, search, and whoami break the pattern slightly, but the naming remains predictable overall.
At 18 tools, the set is slightly above the ideal scoped range and contains some functional overlap, making it feel heavier than necessary. Each tool has a plausible purpose, but the surface could be tightened by merging the overlapping comment and document-retrieval tools.
The tool set covers the core invention lifecycle well: create, get, list, update, validate, submit, and analyze, plus review and comment workflows. Minor gaps exist around comment management and lack of explicit review creation/deletion, but there are no major dead ends for common workflows.