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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

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations present, the description must carry behavioral disclosure. It usefully discloses that the prompt is discarded, suggesting the output is a fixed template rather than dependent on user input. However, it does not state whether any of the nine schema parameters are used or ignored, nor does it describe side effects or the template's structure, so the disclosure is only partial.

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 very brief, front-loads the core purpose, and contains no filler. Each sentence adds something: the first states what is returned, the second adds behavioral context. It is concise rather than merely short, though the terseness does leave relevant details unstated.

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?

Given nine input parameters, no output schema, and no annotations, the description is too thin to be fully actionable. It does not explain what the 'three-step thinking template' contains, how any of the input parameters affect the result, or why this tool should be chosen over its siblings. An agent could call it, but would be guessing about its behavior beyond the fixed template claim.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline of 3 applies even though the tool description adds no per-parameter detail. The 'Prompt discarded' line is contextually relevant but does not map to any specific schema property, and the description leaves the relationship between the nine parameters and the returned template unclear.

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 states a clear verb and resource: 'Return a three-step thinking template.' It also adds a distinguishing behavioral note, 'Prompt discarded,' which signals that the tool is not an input-processing utility. It is specific enough to separate it from the surrounding shape-check and fetch-style sibling tools, though it does not explain what the three steps are.

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 on when to use this tool versus alternatives, and no stated preconditions or exclusions. The intended use is only implied by the purpose: call it when you want a three-step thinking template. For a tool with many sibling utilities, more routing context would be helpful.

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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