Scrapbox Cosense MCP Server

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 and does so effectively. It reveals important behavioral traits: result limitation ('Limited to 100 results maximum'), search syntax capabilities ('Supports basic search...'), and default project behavior. However, it doesn't mention potential error conditions, authentication requirements, or rate limits, which prevents a perfect score.

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 efficiently structured and front-loaded with the core purpose. Every sentence adds value: purpose statement, usage guidance, return format, limitations, search syntax, sibling differentiation, and default behavior. There's no wasted text, and information is presented in a logical flow.

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 search tool with 2 parameters, 100% schema coverage, and no output schema, the description provides substantial context about behavior, limitations, and usage. It explains what the tool returns ('Returns matching pages with highlighted search terms and content snippets') and search capabilities. The main gap is lack of output format details, which would be helpful given no output schema exists.

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?

With 100% schema description coverage, the baseline is 3, but the description adds meaningful context beyond the schema. It explains the default project behavior ('Uses my-cosense-project project as default if projectName is not specified') and provides search syntax examples that help interpret the query parameter. This adds practical value for parameter understanding.

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 clearly states the tool's purpose with specific verb ('Search for content') and resource ('within pages in Scrapbox project'), and explicitly distinguishes it from sibling tool list_pages ('Different from list_pages which browses pages by metadata'). This provides excellent clarity about what this tool does and how it differs from alternatives.

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 provides explicit guidance on when to use this tool ('Use this tool to find pages containing specific keywords or phrases') and when to use alternatives ('Different from list_pages which browses pages by metadata'). It also specifies the default project behavior, giving clear context for usage decisions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.