Get an approval
get_approvalAn approval request's status: pending, approved, denied, expired or cancelled.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The approval id, apr_... |
get_approvalAn approval request's status: pending, approved, denied, expired or cancelled.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The approval id, apr_... |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the description's main remaining job would be to disclose behavior such as permissions needed, what happens for an unknown or expired id, and whether the response is a full approval object. It discloses only the set of possible statuses and nothing about error or access behavior.
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?
It is short and front-loaded with zero filler, but it is a sentence fragment rather than a complete statement, which is under-specification rather than tight writing. The enumerated statuses are the most useful part and appear immediately.
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?
With no output schema, the description is the only place return values can be explained; listing the five statuses is a partial answer but it never says the tool returns the approval object itself or which fields accompany the status. For a low-complexity, single-parameter read with solid annotations, this is adequate but leaves a clear gap.
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?
There is a single required parameter at 100% schema description coverage, and the schema already gives the 'apr_...' id format, so the description adds no parameter meaning. Baseline 3 applies because the schema carries the full burden.
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 is a noun fragment ('An approval request's status: pending, approved, denied, expired or cancelled') that identifies the resource and its possible states but supplies no verb, so the agent must infer 'retrieve' from the tool name. It also never distinguishes this read from the sibling mutations create_approval and cancel_approval, leaving the selection decision to the name alone.
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?
There is no when-to-use guidance, no mention of prerequisites (e.g. approval must still exist or may have expired), and no reference to any sibling tool. The only implied usage is 'call it with an id', which the schema already dictates.
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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