log_intent
Log that you intend to recommend or act. Needs a write key. Returns receipt_id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| action | Yes | ||
| result | No | ||
| policy_id | No | ||
| target_url | Yes |
Log that you intend to recommend or act. Needs a write key. Returns receipt_id.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| action | Yes | ||
| result | No | ||
| policy_id | No | ||
| target_url | Yes |
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 full burden of behavioral disclosure. It meaningfully adds that a write key is required and that a receipt_id is returned, which informs authentication and success behavior. However, it does not disclose side effects, idempotency, failure modes, or whether the logged intent is externally visible.
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 exceptionally concise: three short sentences deliver purpose, a key prerequisite, and the expected return value. Every sentence earns its place, and the main purpose is front-loaded. No filler or redundant wording is present.
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 tool with five parameters, no annotations, and no output schema, the description is too sparse. It covers the write key and return receipt, but omits parameter meanings, when to call, and behavioral details needed for reliable agent selection and invocation. An agent would likely need to guess at several important fields.
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 for the five undocumented parameters. It does not explain query, action, target_url, result, or policy_id, leaving the agent to infer their meanings purely from names. This is a critical gap for correct invocation.
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 states a specific action and resource: 'Log that you intend to recommend or act.' This clearly identifies the tool's purpose and distinguishes it from sibling log_click by emphasizing intent rather than the click event. However, 'recommend or act' is somewhat broad and does not explicitly contrast with other sibling tools.
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 guidance is given about when to use this tool versus alternatives. The description implies it should be used before recommending or acting, but it does not state when not to use it, mention sibling alternatives, or clarify conditions. The write-key requirement is a prerequisite, not usage context.
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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