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List solvers

list_solvers
Read-onlyIdempotent

Lists every field solver this connection serves, each with one sentence, and count, how many there are. against_measurement names the evidence behind the model, in one of three words: "compared with measurement" (a real object; its description says what it was fitted on, what it was compared with outside the fit and within what, the gap, and where it refuses), "held to a reference calculation" (compared with a published calculation), or "company specimen" (an object the company specified, every constant stated). The numbers say how good it is.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description goes beyond that by decoding the return payload: against_measurement is explained as a three-valued provenance field with the meaning of each value, and it explains what the accompanying numbers signify. That is real added context in the absence of an output schema.

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 prose is grammatically broken ('each with one sentence, and count, how many there are') and the explanation of against_measurement is delivered as a dense run-on with nested parentheticals that are hard to parse on a first read. The enum semantics are worth including, but the front-loading is poor and the phrasing needs rework, so it neither reads cleanly nor earns every clause.

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?

With no output schema, the description must carry the full burden of describing the return shape. It does explain against_measurement and the meaning of the numeric fields, which is valuable, but it leaves other per-solver fields, the list format, and any ordering or sizing behavior unaddressed. Adequate but with clear gaps for a zero-argument enumeration tool.

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 schema states plainly that no arguments are accepted and all solvers are returned. With no parameters to disambiguate, this is the baseline 4; nothing in the description contradicts or muddies the empty input contract.

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?

States a specific verb and resource: it lists every field solver available on this connection, with a per-solver statement and a count. That is clearly distinguishable from a single-solver lookup such as the sibling describe_solver. It stops short of naming that sibling, so the differentiation is implied rather than explicit.

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?

The scope ('every field solver this connection serves, ... how many there are') implies this is the enumeration entry point and that detail work belongs elsewhere, but it never states when to prefer it over describe_solver or any other sibling. No prerequisites, no exclusions, no explicit alternative. Usage is inferable but not guided.

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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