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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety and closed-world scope are covered. The description adds genuinely new behavioral context by disclosing result ordering (relevance, then GitHub stars), but says nothing about result size, pagination, or the effect of the limit parameter.

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 sentences, both earning their place: the first defines the search scope, the second defines the ranking. The core purpose is front-loaded with zero filler.

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 description must carry return-value burden, and it covers ordering but not the shape or count of results or how limit behaves. Combined with a 67% parameter coverage, an agent has enough to call the tool but not a full picture of what comes back.

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 coverage is 67%, and the description adds real value for query by naming the indexed fields, which the schema's example-only text does not. It adds nothing for limit (default 10, max 50) and only echoes the category cross-reference already present in the schema description, leaving one parameter effectively undocumented in both places.

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 (search) plus the exact resource (Socketlist directory of open-source MCP servers) and the fields matched (name, description, topics), so the agent knows precisely what is searched. It does not, however, differentiate itself from best_for, which also appears to be a discovery tool for servers.

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?

Usage is implied by 'search ... by keyword' — an agent can infer this is the keyword-lookup path — and the schema cross-reference to list_categories gives one concrete routing hint for the category parameter. There is no explicit when-to-use versus best_for/get_server guidance or statement of when not to use it.

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