timps_agent_marketplace_curator

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds some useful context by listing tracked marketplaces, but it does not disclose whether the tool performs live web fetches, relies on cached knowledge, mutates anything, requires authentication, or what kind of output it produces. This is a significant transparency gap for an unannotated tool.

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 two sentences and front-loads the core purpose. The second sentence adds concrete scope by enumerating tracked marketplaces, earning its place. There is no filler, redundancy, or unnecessary detail.

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 simple tool with two optional parameters, the description covers the domain and sources adequately. However, with no output schema and no annotations, it should explain what the agent can expect as a result (e.g., a curated list, comparisons, or ranked recommendations) and clarify when it should be preferred over sibling research tools. These gaps prevent a higher score.

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 baseline is 3 even though the description itself adds no parameter-level meaning. The 'request' and 'language' fields are self-explanatory from the schema, but the description does not clarify how 'language' relates to marketplace curation or how detailed the 'request' should be.

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 opens with a specific verb ('Curate') and a clear resource ('AI agent / MCP / LLM-tool marketplaces'), then clarifies the intended outcome ('recommend picks by use-case'). Naming tracked sources like pulse.mcp.run and glama.ai makes the tool's scope concrete and distinguishes it from generic research or agent-listing siblings.

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 does not say when to use this tool versus alternatives such as timps_web_search, timps_research_agent, or timps_list_agents. It provides no exclusions, prerequisites, or explicit 'use this when' guidance, leaving the agent to infer applicability solely from the tool name and purpose.

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