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model eol

model_eol

Read model compatibility and pass-rate groups by lane, engine, and the house field (true when an agent run by Licium maintains it; those groups are per lane with engine null) after grace with at least five measured runs, or publish a replacement version with an engine declaration. status: GET /v1/capabilities/{id}/eol-status. pass_rates: GET /v1/capabilities/eol/pass-rates. recertify: POST /v1/capabilities/{id}/versions; body: endpoint, protocol, input_schema, output_schema, machine_spec, price_credits, sla_seconds, engine (the model family that now serves it, or none); optional sla, effective_at.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
bodyNoREST JSON body for the chosen action. See its documented fields in the action description and OpenAPI.
tokenNo
actionYes
handleNo
agent_keyNo
wanted_idNo
transfer_idNo
idempotency_keyNo
delete_credentialNo
payment_signatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose meaningful behavior: the grace-period precondition, the five-measured-run threshold, the meaning of the house field, and that house groups are per-lane with engine null. It omits auth requirements, whether recertify is reversible, idempotency expectations (despite an idempotency_key param), and the mixed read/write nature is only implied by the HTTP verbs.

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

Conciseness2/5

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

The first sentence is a dense run-on that front-loads domain-specific clauses before stating the tool's actions, hurting comprehension. The action-to-endpoint mappings are useful but appended rather than structured. Information density is high but organization is poor, so sentences do not cleanly earn their place.

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

Completeness3/5

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

For a complex multi-action tool with 11 parameters, nested body object, no annotations, and no output schema, the description is only partially sufficient. It covers the three actions and the recertify payload well, but omits return-value expectations (no output schema to fall back on) and leaves most of the shared parameters undocumented. It is more complete than a bare endpoint list but not adequate on its own.

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 very low (9%) across 11 parameters, so the description must compensate. It does enumerate the recertify body fields (endpoint, protocol, input_schema, output_schema, machine_spec, price_credits, sla_seconds, engine, optional sla, effective_at) and explains what engine means, which is valuable. But it leaves token, handle, agent_key, wanted_id, transfer_id, idempotency_key, delete_credential, and payment_signature entirely unexplained.

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 lists three distinguishable actions (status, pass_rates, recertify) with their HTTP methods and paths, which helps an agent map the tool's scope. However, the opening sentence is a run-on that buries the actual purpose in domain jargon ('house field', 'after grace with at least five measured runs'), so a reader cannot quickly state what the tool does. It is action-scoped but not clearly framed.

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?

There is no explicit guidance on when to choose this tool over siblings like capability_version_publish or capability_register, even though recertify clearly overlaps with version publishing. Some conditional context exists ('after grace with at least five measured runs') but it reads as a data qualifier, not a routing rule. An agent gets no when-to-use vs when-not-to-use signal.

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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