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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

B3.2/5.0
Behavior3/5

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

Since no annotations are provided, the description carries the full burden of behavioral disclosure. It does reveal a key behavioral trait: the tool discards the prompt and returns a fixed template. However, it does not describe side effects, error behavior, or exactly which inputs are ignored, especially since some schema descriptions like 'url' and 'host' suggest they might be used.

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 concise: two short sentences with no filler, and the main purpose is front-loaded. 'Prompt discarded' is compact but somewhat cryptic, which prevents a perfect score for clarity of phrasing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with no required parameters and no output schema, the description gives the essential information: a fixed three-step template is returned and the prompt is ignored. It does not specify the actual template content or when to invoke this tool instead of similar siblings, leaving a modest but real gap.

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 is 3 and the description does not need to compensate for undocumented parameters. The description adds a global hint that the prompt is discarded, implying parameters are largely irrelevant. But it does not clarify whether all nine optional parameters are ignored, and the schema contains inconsistent descriptions for url and host.

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 concrete output ('three-step thinking template') and a clear verb ('Return'), which is enough to know what the tool does. 'Prompt discarded' also communicates that the tool does not use the provided input, helping distinguish it from the many shape-check and fetch siblings. It does not name a sibling explicitly, and 'Prompt discarded' is slightly ambiguous about whether it means the user prompt or all parameters, so it is not a 5.

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 about when to use this tool versus any of the sibling tools. No alternatives are mentioned, and no conditions or exclusions are provided. 'Prompt discarded' hints that input content is irrelevant, but that is not an explicit usage policy.

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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