withdraw_feedback
撤回自己对某家店的反馈。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| store_id | Yes | ||
| agent_key | No |
撤回自己对某家店的反馈。
| Name | Required | Description | Default |
|---|---|---|---|
| store_id | Yes | ||
| agent_key | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. 'One's own' hints at an ownership constraint on the withdrawal, but it says nothing about whether the withdrawal is reversible, what permissions the call requires, or what happens to the store's rating afterward.
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?
A single short, front-loaded sentence with no filler. It is efficient, though its brevity reflects under-specification rather than disciplined conciseness.
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 mutation tool with no annotations, no output schema, and 0% parameter coverage, a one-sentence description is insufficient. Reversibility, authorization, and the agent_key parameter are all unexplained.
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 only vaguely gestures at a store (store_id) and gives no format or meaning for the undocumented agent_key parameter, leaving both parameters under-explained.
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 (withdraw/撤回) and resource (feedback/反馈) scoped to the caller's own feedback for a store. This distinguishes it from submit_feedback and get_feedback, though it does not explicitly name or contrast with those siblings.
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?
No when-to-use guidance, no prerequisites, no mention of alternatives such as submit_feedback or get_feedback. The implied condition is that the feedback already exists and belongs to the caller, but that must be inferred.
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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