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Check Liro access

check_access
Read-onlyIdempotent

Whether the caller can take a component or template, and why: free, subscriber, lifetime, purchased or unauthorized.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "check_access"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesA component or template slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds real value by enumerating the possible outcomes (free, subscriber, lifetime, purchased, unauthorized) — that is return-value behavior not covered by any output schema. It does not say what happens for an unknown slug, whether auth is required, or rate limits, keeping this at a solid 3 rather than higher.

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?

A single compact sentence with the outcome taxonomy front-loaded, and no padding. The wording is slightly fragmented ('and why: free, subscriber...') but every clause carries information.

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 one-parameter read-only check with no output schema, the description supplies the essential missing piece — the set of possible verdicts and reasons — which is what an agent needs to interpret the result. Nothing critical is omitted beyond error/auth edge cases.

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 there is only one required parameter, so the schema already explains 'slug'. The description echoes the accepted resource types (component or template), which adds a little meaning but no format or lookup guidance beyond the schema. Baseline 3 applies.

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?

Names a specific check ('whether the caller can take a component or template') plus the reason dimension, which is more than a restatement of the name. It is distinguishable from siblings like get_component or get_template, though it does not explicitly name those alternatives.

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 only implied: an agent can infer this is an entitlement gate to call before fetching or installing a component/template. There is no explicit when-to-use, no stated prerequisites (e.g. caller identity), and no routing statement against get_component or get_installation.

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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