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mcp-ai-workforce

workforce_models_status

Inspect current model configuration and OpenRouter readiness to verify API key presence, default model, and suggested coding models.

Instructions

Inspect current configuration, supported models, and OpenRouter readiness.

Returns: Dict[str, Any]: Configuration status including API key presence, default model, configured workspace root, and suggested coding models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. 'Inspect' signals a non-destructive read, and 'API key presence' (rather than the key value) discloses that secrets are not exposed. It doesn't state side effects or access requirements explicitly, but the read-only nature is reasonably clear.

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?

The core purpose is front-loaded in a single sentence, and the return summary is compact and informative. Every sentence earns its place with no filler or repetition of the schema.

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 zero-parameter status tool with an output schema, this description is nearly complete: it states what is inspected, what is returned, and the readiness angle. The only gap is when to run it relative to siblings, which is a usage-guidance concern rather than a completeness failure.

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 schema coverage is 100%, so the baseline is 4. The description adds value by explaining what the return payload contains, which is more relevant than parameter semantics for this tool.

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?

The description states a specific verb and resource ('Inspect current configuration, supported models, and OpenRouter readiness') and enumerates what the status contains. It doesn't explicitly differentiate from siblings, but the sibling names (audit_diff, delegate) are so different that no ambiguity exists.

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?

No explicit when-to-use or alternatives are named, but the phrase 'OpenRouter readiness' implies a workflow of checking status before delegating work. The usage context is inferable rather than stated, which is acceptable but not actively instructive.

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