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Docsbook-io

docsbook-mcp

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by Docsbook-io

get_failed_searches

Identify search queries with no results in your Docsbook analytics. Use these failed searches to find missing content and enhance your documentation.

Instructions

No-result search queries. PRO plan or higher.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses only the plan requirement but nothing about return format, read-only behavior, or how 'failed searches' are defined. This is minimal information, though not misleading.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no wasted words. The plan requirement is a useful addition. Brevity here is not over-specification; it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and only a fragmentary description, the agent cannot know what the tool returns or how it relates to sibling analytics tools. The plan requirement provides some context but is insufficient for a complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the schema is trivially complete. The description does not need to add parameter details, and the baseline for 0 params is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'No-result search queries' identifies the data being returned but lacks a verb like 'list' or 'get.' It is somewhat distinct from sibling analytics tools but is a noun fragment rather than a clear purpose statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only usage context is 'PRO plan or higher,' which is a prerequisite, not guidance on when to use this tool versus alternatives like get_popular_searches or get_ai_unanswered. No explicit when-to-use or when-not-to-use guidance is provided.

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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