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Glama

dsolve_ode

Solve ordinary differential equations analytically, with optional initial conditions, returning exact symbolic solutions.

Instructions

Solve an ODE analytically with sympy.dsolve, optionally with initial conditions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
xNot
yNoy
icsNo
equationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals that the solve is analytic and uses sympy.dsolve, but says nothing about return format, failure modes, assumptions, or whether the input equation must be in a specific syntax.

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?

A single, front-loaded sentence with no wasted words. The core purpose is stated immediately, and every clause (analytic solve, sympy.dsolve, optional ICs) earns its place.

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

Completeness2/5

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

For a 4-parameter solver with no annotations, no output schema, and 0% schema description coverage, the description is far too sparse. An agent lacks essential context about parameter meanings and expected input formats, making correct invocation uncertain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, but it only vaguely alludes to initial conditions (the 'ics' parameter). The roles of 'x', 'y', and 'equation' are left entirely unexplained, and the expected format for equations and ICs is not provided.

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 ('Solve an ODE analytically') and names the implementation (sympy.dsolve). It is clear but does not distinguish the tool from sibling solvers such as symbolic_solve or find_roots, so it falls 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.

Usage Guidelines2/5

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

The description offers no when-to-use guidance, no conditions for choosing this tool over alternatives like symbolic_solve or solve_ode, and no prerequisites. 'Optionally with initial conditions' is a capability, not usage guidance.

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