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ai-adoption-components axis (live GSPC board)

axis_ai-adoption-components
Read-onlyIdempotent

The ai-adoption-components axis of the live GSPC board at https://councilof.ai/api/gspc — this tool IS the axis, so it takes no argument: n, accuracy, interval, MEASURED or UNMEASURED status, family, kind, the bank or run-artifact URL behind the row, and dates. An unmeasured axis is a first-class answer — a declared slot with no run behind it, published so the gap is visible — never an error and never a zero. Never a certification.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
nNo
axisNo
stateYesLIVE, NOT_ON_BOARD or UNREACHABLE
familyNo
leaderNo
sourceNo
statusNo
datasetNo
accuracyNo
intervalNo
measuredNo
not_a_certificationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavior beyond those annotations: an unmeasured axis is 'a first-class answer... never an error and never a zero,' and 'Never a certification.' This clarifies the critical edge case and semantic boundary.

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 front-loaded with the purpose, and the unmeasured/certification sentences earn their place. However, the long first sentence enumerates output fields (n, accuracy, interval, status, family, kind, URL, dates) that are already available in the output schema, making it bloated for an agent that can inspect structured data.

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

Completeness4/5

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

For a simple, no-parameter, read-only retrieval with rich annotations and an output schema, the description is nearly complete. The unmeasured-case semantics and certification disclaimer add crucial context. The only notable gap is the lack of sibling routing (e.g., get_axis), which could matter when an agent needs an arbitrary axis.

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?

There are zero parameters, so the baseline is 4. The description explicitly reinforces this: 'takes no argument,' which is consistent with the empty input schema and additionalProperties=false.

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?

States the specific resource (ai-adoption-components axis) and that it is a fixed, no-argument endpoint on the live GSPC board. The name and description make the tool's identity clear. However, it does not explicitly differentiate this from the sibling get_axis or other axis_* tools, leaving the agent to infer the distinction from the tool name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'this tool IS the axis, so it takes no argument' implies usage for this specific axis, but there is no explicit guidance on when to use this versus get_axis (which likely accepts an axis parameter) or board_totals. The alternative is not named, so the agent must infer the routing.

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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