check_approval
Check whether a human approved or denied your request.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | approval id |
Check whether a human approved or denied your request.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | approval id |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of disclosing behavior. It states the primary check operation but does not mention potential outcomes beyond 'approved or denied' (e.g., pending state), error handling for invalid IDs, or any side effects. The simple verb 'check' implies non-mutating behavior, but details are minimal.
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, concise sentence that front-loads the essential purpose. There is no redundant information or filler, and every word contributes to understanding the tool's function.
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 simple one-parameter tool with no output schema, the description covers the core behavior but omits important nuances such as the possible 'pending' state, what the return value looks like, or any prerequisites (e.g., having submitted a request first). While not severely incomplete, it could benefit from clarifying the status envelope.
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% with the 'id' parameter described as 'approval id', so the schema already provides full parameter meaning. The description adds only the context that the id refers to 'your request', which is marginal additional value. Baseline 3 is appropriate given full schema coverage.
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 clearly states the tool's function with a specific verb ('check') and resource ('approval'), and the phrase 'whether a human approved or denied your request' immediately conveys the outcome being queried. This distinguishes it from sibling tools like request_approval, which presumably creates the request, and watch_status, which may monitor a different resource.
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 description implies usage as a follow-up to a prior approval request ('your request'), but it does not explicitly state when to use this tool versus alternatives. There is no mention of 'use after request_approval' or 'use to poll status', leaving the when-to-use guidance implicit rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.