List solvers
list_solversList the registered solver pool: id, kind (worker|hive), price, capabilities.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
list_solversList the registered solver pool: id, kind (worker|hive), price, capabilities.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered without the description. The description adds the domain detail that 'kind' takes worker|hive values, but otherwise restates return fields already implied by the output schema, so it contributes little beyond structured data.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence with the resource front-loaded and no filler. The trailing field enumeration is slightly redundant given the output schema exists, but it costs little.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With a full output schema and rich annotations, the description need not explain return shape or safety, and it is sufficient for an agent to call this correctly. The only missing piece is routing context versus solve, describe_agent and job_status.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so per the baseline the schema carries parameter semantics entirely and there is nothing for the description to clarify. The parenthetical enum values describe output data rather than inputs, but that causes no ambiguity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('List the registered solver pool') and previews the returned fields, which cleanly separates it from siblings like describe_agent or solve. It does not explicitly name a sibling it is meant to be chosen over, so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: as a zero-parameter read of the solver pool, an agent can infer it is the discovery step before solve or describe_agent, but the description never says so or excludes any alternatives. Adequate for a trivial list call, but no explicit when/when-not 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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