Confirm or dispute a trap
confirm_trapRecord that a trap is still true (or not), with optional hours lost and version seen. Needs an API key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| trap_id | Yes | ||
| hours_lost | No | ||
| still_true | Yes | ||
| version_seen | No |
confirm_trapRecord that a trap is still true (or not), with optional hours lost and version seen. Needs an API key.
| Name | Required | Description | Default |
|---|---|---|---|
| trap_id | Yes | ||
| hours_lost | No | ||
| still_true | Yes | ||
| version_seen | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=false and destructiveHint=false, so the safety profile is already covered, and the description is consistent with a non-destructive write. It adds one genuinely useful behavioral fact ('Needs an API key') but omits what happens on an unknown trap_id, whether repeated confirms are idempotent, and whether this mutates the original trap record.
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?
Two short sentences, front-loaded with the core action and its payload, with the auth note trailing where it belongs. Nothing is redundant with the title or schema.
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 four-parameter mutation tool with no output schema and only bare annotations, the description is serviceable but thin: it does not say what is returned, how the confirmation is stored against the existing trap, or what errors an unknown trap_id produces. An agent could call it correctly for the happy path but has no guidance for edge cases.
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 carries the load, and it does name three of the four parameters in natural language ('still true', 'hours lost', 'version seen'); trap_id is obvious from context but unmentioned. It gives no format or range hints (e.g., whether hours_lost is a decimal, what version_seen refers to), so it only partially compensates for the zero 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 gives a specific verb ('Record') and resource ('a trap') plus the payload's meaning: whether the trap is 'still true (or not)'. That phrasing implicitly separates it from file_trap (create a new trap) and from lookup_traps/search_traps (retrieve), though it never names a sibling explicitly.
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 statement of when to reach for this tool versus file_trap, lookup_traps, or search_traps, and no prerequisites or exclusions. The only usage cue is the implied 'you have already seen this trap and want to re-validate it', which the agent must infer.
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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