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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

C2.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the 'Prompt discarded', implying the input prompt (and thus likely the parameters) are not used. This is a useful behavioral hint. However, it does not clarify whether the tool has side effects, what the template contains, or whether it is a read-only operation. The disclosure is partial and cryptic.

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—one sentence—and front-loads the core action ('Return a three-step thinking template') followed by a key behavioral note. It is efficient and contains no filler. However, it may be too terse, omitting valuable context that a longer description could provide.

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

Completeness1/5

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

This is a complex tool with 9 optional parameters, no output schema, and no annotations. The description is grossly under-specified: it does not explain what the template is, how the parameters relate (if at all), what the output format looks like, or any constraints. An agent cannot correctly anticipate the behavior beyond returning a fixed template, making it inadequate for effective invocation.

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% for all 9 parameters, so the schema itself documents each parameter's meaning. The description adds no value to parameter semantics; it does not mention any parameters or how they affect the return value. Given the high coverage, a baseline of 3 is appropriate, but the description could have clarified that parameters are ignored, reinforcing the 'Prompt discarded' note.

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

Purpose3/5

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.' However, it is vague about what the template is for or how it relates to the tool's name. It does not distinguish itself from the many sibling tools, many of which also return simple data (e.g., utc-time, iana-zones). The phrase 'Prompt discarded' hints at ignoring input but does not clarify the template's purpose.

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?

No guidance is provided on when to use this tool versus its siblings. There is no mention of conditions, alternatives, or exclusions. The description only states what it returns, leaving the agent to infer that it might be used for structured thinking, but without explicit direction.

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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