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get_flagships

The curated human-facing flagship shortlist joined to live lifecycle, evidence, qualification, post-ratification adoption coverage, and claim guards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Added

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'live lifecycle' and 'joined to' data, implying a read operation, but does not explicitly state that it is read-only, what side effects (if any) occur, or any constraints like authentication. The description focuses on content rather than behavior.

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

Conciseness3/5

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

The description is a single dense sentence packed with jargon ('curated', 'human-facing', 'post-ratification adoption coverage', 'claim guards'). It is not concise and is difficult to parse at a glance. The key resource ('flagship shortlist') is front-loaded, but the accumulation of modifiers reduces clarity.

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?

Without an output schema, the description should explain what the tool returns in a usable way. It lists several data components (lifecycle, evidence, qualification, etc.) but does not specify the structure or format, and 'flagship' itself is undefined. An agent cannot confidently interpret the result or know what to expect.

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

Parameters4/5

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

The tool has zero parameters and the schema description coverage is 100% (empty schema), so there is nothing for the description to add about parameters. The baseline of 4 applies because no parameter documentation is needed; nothing is missing.

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 is a noun phrase ('The curated human-facing flagship shortlist joined to...') rather than a clear statement of what the tool does. It implies retrieval of a flagship shortlist but does not use a verb or explicitly say 'returns' or 'gets'. It is distinguished from siblings by the unique 'flagship' resource, but the meaning of 'flagship' is undefined, making the purpose vague.

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 provides no guidance on when to use this tool versus the many siblings. There is no mention of context, alternative tools, or conditions that would select this one. An agent is left to infer use from the name alone.

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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TDQS

B3.1/5.0
Disambiguation3/5

Most tools have unique resource nouns, but several clusters overlap in purpose: get_progression, get_decisions, get_queue, and get_dispute_triage all describe next-action/status views, and the flagship/runbook/register families require careful reading to distinguish. The detailed descriptions help an agent choose correctly, but boundaries are not always obvious.

Naming Consistency4/5

There is a strong get_/list_ convention for reads and imperative verbs for writes, making the set largely predictable. Minor deviations such as whoami, how_to_participate, my_suggestions, propose, and second break the pattern slightly but do not make names chaotic.

Tool Count2/5

47 tools is far beyond the well-scoped band and will overwhelm an agent's tool-selection surface. Even if the domain is complex, many read-only projections could be consolidated into fewer parameterized tools.

Completeness4/5

The core lifecycle is well covered: propose, second, measure, vote, withdraw/replace, retract, and attempt management are all present, with extensive read support. Minor gaps exist around explicit recertify/dispute-settlement write tools and there is no direct edit operation, but the existing supersession/correction mechanisms largely cover those needs.