Skip to main content
Glama

Record the readiness check

set_readiness

Record the AI readiness check: five dimensions, 1–4 each (workflows_documented, data_access, governance, adoption, business_case) → score 0–100 and a level.

Input Schema

NameRequiredDescriptionDefault
answersYes{workflows_documented, data_access, governance, adoption, business_case}, each 1–4.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the agent knows this is a bounded, non-destructive write and the bar is lower. The description usefully discloses the derivation ('→ score 0–100 and a level'), which is behavior the schema does not express. It does not say whether results are persisted, versioned, or overwritten on repeat calls, which would matter for a recording tool.

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?

A single sentence that front-loads the action, then packs the dimension list, per-dimension scale, and derived result into a compact arrow notation. Nothing is padded and nothing repeats the tool title.

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?

With only one nested parameter, a 100%-covered schema, and no output schema, the description covers what an agent needs: the exact dimension keys, their range, and the shape of the result. The remaining gap is the lack of any statement about persistence or overwrite semantics, which is minor for a one-parameter tool.

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% and the description restates the same five dimension names and the 1–4 range already documented in the nested object schema. Its one addition, the 0–100 score and level mapping, describes derived output rather than parameter input, so baseline 3 applies.

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

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Record') and resource ('the AI readiness check'), then enumerates the five named dimensions and the derived outputs (score 0–100, a level). No sibling tool does readiness scoring, and an agent can immediately tell this is the write-side counterpart to an assessment rather than a generic 'set_*' mutation.

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?

Usage is implied by the name and the enumerated scale — you call it after collecting the five 1–4 answers — but the description never says when to call it, whether a prior assessment is required, or whether calling it again overwrites an earlier result. With no overlapping sibling there is no real alternative to route away from, so implied usage is the ceiling here.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources