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America/Monterrey 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

B3.2/5.0
Behavior3/5

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

No annotations are present, so the description must carry the transparency burden. It does state that the prompt is discarded, which is a useful behavioral clue, but it does not describe the template's contents, whether any side effects occur, or how the seven input fields are handled—several schema descriptions imply some are actually used.

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

Conciseness5/5

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

Two short sentences, front-loaded with the main action; no filler. The discard warning earns its place as a behavior note, though it could be clearer if it is meant to cover all inputs.

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?

For a tool with seven optional inputs, no output schema, and no annotations, the description is too thin. It does not say whether zero arguments are valid, which field to pass for a given intent, or what the returned template looks like. This leaves an agent guessing despite the schema's good per-parameter documentation.

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?

The JSON schema describes each of the seven properties ('Git ref name', 'HTTPS URL to normalize or cite', etc.), so coverage is effectively 100%; a baseline 3 applies. The tool description itself adds no parameter-level semantics beyond 'Prompt discarded,' which is ambiguous about whether input fields are ignored.

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 names a concrete action ('Return') and a concrete artifact ('a three-step thinking template'), so an agent can tell what the tool does. It stops short of a 5 because it does not position itself against sibling tools and the 'Prompt discarded' clause is initially ambiguous.

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 guidance on when to invoke think-steps versus the many sibling tools. No exclusions or alternatives are named, so the agent must infer usage from the name and template description.

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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