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Goodearth List Canonical Identities

goodearth_list_canonical_identities

Return canonical (tool_id, mcp_name, …) for every tool the wheel exposes.

The authoritative source for any client (Studio, agents, FE) that needs to know how this MCP identifies its tools. Reconcile uses this output to UUID-join against the stored pricing model — no name-based UUID derivation, no guessing.

Includes both ToolIdentity-seeded tools and any UUID recorded by @paid_tool that is missing from the registry. The latter appear with registered: false (and in the top-level unregistered array) so Reconcile can flag deploy drift instead of silently reporting clean when a live tool was never seeded (#174).

If the operator renames a function or rebrands a slug, the mcp_name in this output changes but tool_id stays. That's the whole point of the canonical-UUID design.

Also diffs the live FastMCP wire surface against the registry. Tools exposed on the wire but absent from the registry appear in unregistered so Reconcile can flag deploy drift instead of silently under-reporting (issue #175).

Free, no side effects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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 discloses that the tool is free and has no side effects, includes both ToolIdentity-seeded tools and UUIDs recorded by @paid_tool missing from the registry, and explains the registered:false flag and unregistered array for drift detection. It also explains the canonical-UUID design (mcp_name changes, tool_id stays). This is rich behavioral context beyond a simple 'list' description.

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?

The description is longer than strictly necessary, with some redundancy (the unregistered/drift point is made twice, referencing both #174 and #175). However, it is front-loaded with the core purpose and each paragraph adds meaningful context. The repetition of the drift-detection point costs a point, but the structure is otherwise clear.

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

Completeness5/5

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

For a zero-parameter, read-only listing tool with an output schema, the description is complete. It explains what the output contains, why it matters, how to interpret the registered flag, and the design invariant (tool_id stability). An agent has everything needed to call and interpret this tool correctly.

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, so the schema is trivially complete. The description doesn't need to explain parameters, and it doesn't. Baseline 4 for zero-param tools is appropriate; the description adds no parameter info because there is nothing to add.

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?

The description states a specific verb ('Return') and resource ('canonical (tool_id, mcp_name, …) for every tool the wheel exposes'), and clearly distinguishes this from siblings by explaining it is the authoritative source for tool identity mapping. It also names the consumer (Reconcile) and the purpose (UUID-join against pricing model), which removes any ambiguity about what this tool does.

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

Usage Guidelines5/5

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

The description explicitly says when to use this tool: any client that needs to know how the MCP identifies its tools, and specifically Reconcile for UUID-join. It also states what not to do ('no name-based UUID derivation, no guessing'), which is a clear exclusion. This is strong usage guidance.

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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