Socketlist

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 does add a genuine behavioral fact beyond the annotations: unknown input returns the list of available use cases rather than failing, which is a non-obvious probe/discovery behavior. It does not describe result formatting or ordering, but with annotations carrying the read-only profile a 3 is fair.

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, zero filler, with the core purpose front-loaded and the discovery fallback placed second. Every sentence carries information an agent needs.

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 single-required-param read tool with no output schema and full schema coverage, the description is nearly sufficient: purpose, value vocabulary, and the unknown-value behavior are all present. A brief note on what the returned list contains (server entries vs. prose) is the only notable omission.

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 100%, so the baseline is 3, but the description goes further by showing the accepted slug vocabulary (client names and topic slugs) and defining the out-of-vocabulary behavior for use_case. That meaningfully expands on "Use-case slug or name" in the schema.

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 and resource: return the curated "best MCP servers for X" list for a use case or client. The word "curated" is a meaningful distinguishing signal against the search_servers sibling, but no sibling is named explicitly, so an agent must infer the contrast.

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?

Gives clear context (use case or client slug) plus concrete value examples ("claude-code", "jira", "postgresql", "web-scraping"), and a useful negative-path rule: call with an unknown value to enumerate available use cases. It stops short of stating when to prefer this over search_servers or list_categories.

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

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 disclosing returned content (description, repository, stars, category, README-derived features/tools/requirements, install config) and the conditional 'when known' qualifier on the install config.

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?

A single front-loaded sentence states the action first, then the identifier, then the payload. No filler, and every clause carries information useful for a detail-fetch tool.

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 bears full responsibility for describing return values, and it does so comprehensively, including the conditional install config. A minor gap is the lack of any error/not-found behavior, but the core content is complete.

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 100%, so the single slug parameter is already documented, and the description only repeats that it is a 'Socketlist slug.' It adds no format or syntax detail beyond what the schema provides, so the baseline 3 applies.

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 (Get) and resource (details for one MCP server) and enumerates the fields returned. The 'one MCP server by its slug' framing implicitly contrasts with the list-returning search_servers, though no sibling is named explicitly.

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 'by its Socketlist slug,' and the schema notes the slug comes from search_servers, suggesting a lookup-after-search workflow. However, there is no explicit when-to-use/when-not guidance or named alternatives to distinguish it from search_servers or best_for.

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

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 that the result carries slugs and server counts, which is useful return context, but says nothing about pagination, ordering, or completeness of the list.

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?

A single front-loaded sentence with no filler; the resource and the returned fields are both stated up front. Every clause earns its place.

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 zero-parameter, read-only enumeration tool with annotations already covering safety, the description is nearly sufficient, and it partially compensates for the absent output schema by naming the returned fields. Minor gaps remain around ordering and list completeness.

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?

The tool takes zero parameters, so the baseline is 4. There is nothing for the description to clarify beyond the schema, and it does not introduce any spurious input concepts.

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 ('List') and resource ('Socketlist categories') plus the returned fields (slugs, server counts). The resource is clearly distinct from siblings get_server/search_servers/best_for, but no explicit sibling differentiation is offered.

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?

There is no when-to-use or when-not-to-use guidance and no alternatives named. An agent can infer it enumerates the category taxonomy, but nothing in the text tells it when this is the right call versus search_servers or best_for.

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

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.