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think-steps

Return a three-step thinking template. Prompt discarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check
websiteNoPublic https website (homepage domain) to check for agent readiness: robots.txt, llms.txt, sitemap.xml, extractable HTML. Bounded, identified, robots-respecting.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It discloses one behavioral trait: 'Prompt discarded.' But it does not say whether the 10 input parameters are used, ignored, or validated, and the parameter descriptions conflict by suggesting real operations such as weather hints, JSON validation, and URL checks. This leaves the agent uncertain about the tool's actual behavior.

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

Conciseness4/5

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

The description is extremely concise and front-loaded: the first sentence states the purpose, and the second adds a relevant behavioral note. Every word earns its place, but it is arguably too sparse given the large input schema and lack of an output schema.

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?

The tool has 10 optional parameters, no annotations, and no output schema, so the description must provide the full context. It does not describe the return format, what the template contains, or how the parameters relate to the tool's behavior. The 'Prompt discarded' note is helpful but insufficient for reliable invocation.

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

Parameters2/5

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

Schema description coverage is 100%, which normally earns a baseline of 3. However, the schema's parameter descriptions describe concrete actions like normalization, validation, and agent-readiness checks, while the tool description says the prompt is discarded. This is a meaningful semantic conflict that makes the parameter descriptions unreliable for deciding what to pass.

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

Purpose4/5

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

The description uses a specific verb and object: 'Return a three-step thinking template.' This is not a tautology and distinguishes the tool from the sibling tools, none of which are template generators. However, it does not explain what the three steps are or why an agent would need them, so the clarity is good but not complete.

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?

There is no explicit guidance about when to use this tool instead of a sibling, no stated conditions, and no exclusions. 'Return a three-step thinking template' only implies that the tool is useful when a template is wanted, but it never says what kind of prompt or context warrants the call.

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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