Get quotable findings
get_findingsLists findings with their anchor URL, source and review status. Filter by entry id or by words in the finding.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No | ||
| article_id | No |
get_findingsLists findings with their anchor URL, source and review status. Filter by entry id or by words in the finding.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No | ||
| article_id | No |
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 safety profile is covered. The description adds value by enumerating return fields (anchor URL, source, review status) in the absence of an output schema, but says nothing about the 50-item cap, pagination, or ordering 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?
Two short sentences with no filler; the returned fields are front-loaded and the filter modes follow immediately. Nothing could be cut without losing information.
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 field enumeration is genuinely helpful, and readOnly annotations cover safety. However, an agent still lacks the result cap (limit max 50), default behavior when no filter is given, and any disambiguation from the three sibling tools.
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 carry the parameter burden. It loosely maps 'words in the finding' to query and 'entry id' to article_id (with a confusing name mismatch), but the limit parameter and its maximum of 50 are entirely undocumented in both schema and description.
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 ('Lists') and resource ('findings') and even names the fields returned (anchor URL, source, review status). It does not differentiate itself from siblings like get_entry or search_site, and the phrase 'entry id' does not match the actual parameter name article_id, which slightly muddies the resource identity.
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 explains two filtering modes ('by entry id or by words in the finding') but never says when to choose this tool over get_entry, list_topics, or search_site, nor any exclusions. An agent must infer selection from the tool name alone.
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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