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Glama

Daystruct

Answer software questions

answer_software_questions
Read-onlyIdempotent

Resolve up to four package/API questions and an optional runtime compatibility check.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimsYes
compatibilityNo

Schema Changelog

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

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description is not required to restate those. The description adds the behavioral fact that it can handle up to four questions and an optional compatibility check, but that is already implied by the schema (maxItems=4 and optional compatibility). It does not disclose how results are returned, error handling, or any limitations beyond the count, so it adds marginal value over the annotations.

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?

The description is a single concise sentence that front-loads the core function and constraints. There is no filler or redundancy; every word adds value. It is appropriately sized for the tool's scope.

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 the nested schema with two parameters, zero schema descriptions, and no output schema, the description is insufficient. It does not explain what 'resolve' entails, what the output looks like, what constitutes a valid 'claim', or how the compatibility check behaves. An agent cannot confidently craft a correct request or interpret the response based solely on this description.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate by explaining parameter meanings. The description hints that 'claims' likely represents package/API questions and 'compatibility' is the runtime check, but it does not define the individual fields (package, api, runtime, runtimeVersion) or their expected formats. It provides only a high-level mapping, leaving an agent to guess the exact schema semantics.

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 purpose: 'Resolve up to four package/API questions and an optional runtime compatibility check.' It uses a specific verb ('resolve') and names the resource ('package/API questions' and 'runtime compatibility'), which distinguishes it from the sibling tools like check_release_support or lookup_vulnerability. However, it could be more explicit about what 'resolve' means (e.g., provide answers, verify compatibility) and does not explicitly contrast with any sibling, so it misses the top score.

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 versus alternatives. It does not mention any scenarios, prerequisites, or exclusions, nor does it reference any sibling tools. An agent must infer from the name and generic wording that this is for software questions, but there is no explicit 'when to use' or 'when not to use' guidance.

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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