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Asia/Magadan clock

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 at all, the description carries the behavioral burden. It does disclose a key behavior: the prompt is discarded, so the tool is effectively a fixed template provider. However, it leaves unstated whether the nine parameters are all ignored, whether the output is always identical, and whether there are any side effects. A bit more explicit transparency would be better.

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 remarkably concise: two short sentences, front-loaded with the action. It avoids filler and is easy to parse. It is perhaps too terse to be fully useful, but conciseness is a strength in this case.

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?

Despite being a simple operation, the tool exposes nine optional parameters, has no annotations, and no output schema. The description does not clarify how those parameters relate to the returned template, what the template contains, or why the tool exists when the sibling tools offer more specific utilities. This is not enough context for an agent to use the tool correctly with confidence.

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 schema already documents every parameter, which supports a baseline of 3. The description adds no parameter-specific semantics beyond saying the prompt is discarded, which is not an actual schema property. Nothing here compensates for or clarifies how the nine optional parameters affect the returned template.

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 clearly states the core action: 'Return a three-step thinking template.' That is a specific verb plus resource, and 'Prompt discarded' adds an important constraint. It does not explicitly distinguish this tool from the sibling tools in the index, but its purpose is not tautological or misleading.

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?

The description gives no guidance on when to use this tool or when to prefer one of the many sibling tools. 'Prompt discarded' implies the input is not used, but it does not explain the intended scenario, prerequisites, or use case. An agent has to infer why it would call this tool at all.

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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