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Glama

list_solvers

List the registered solver pool: id, kind (worker|hive), price, capabilities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It does not explicitly state that the tool is read-only or disclose potential side effects, permissions, or rate limits. However, the listing nature implies safe operation, and the output fields are mentioned, providing moderate transparency.

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 description is a single, clear sentence with no wasted words. It is appropriately sized and front-loaded.

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?

Given the absence of parameters and the presence of an output schema, the description is largely complete. It lists the key output fields, and the tool's purpose is clear. Minor improvement could be explicitly stating it is a read-only operation.

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?

There are zero parameters, and the baseline is set at 4. The description does not need to add parameter info, but it does mention the output fields, which aligns with the output schema.

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 clearly states it lists the solver pool and specifies the fields returned (id, kind, price, capabilities). The verb 'list' and resource 'solver pool' are specific, and it distinguishes from sibling tools like 'solve' and 'describe_agent' which have different purposes.

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?

The description provides no guidance on when to use this tool versus alternatives like 'describe_agent' or 'job_status'. No explicit context or exclusions are given.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct operation: auditing, describing agents, checking job status, listing solvers, solving jobs, and verifying audits. No overlap in purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., audit_job, describe_agent). The naming is clear and predictable.

Tool Count5/5

Six tools is well-scoped for an orchestrator server, covering essential operations without unnecessary bloat or missing core functionality.

Completeness4/5

The tool surface covers agent description, solver listing, job execution, status checking, auditing, and verification. A minor gap is the absence of a tool to list all jobs, but the core lifecycle is complete.