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Glama

symbolic_evaluate

Substitute numeric or symbolic-constant values into an expression and evaluate it to return a numeric result.

Instructions

Substitute numeric or symbolic-constant values into an expression and evaluate it numerically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
exprYes
substitutionsYes

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 behavioral burden, and it discloses only that evaluation is numeric. It says nothing about expression syntax, error behavior, whether evaluation is exact or approximate, or what the substitution keys must match.

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 filler; the core action and result type are stated immediately. Nothing is redundant or padded.

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 tool with a nested substitutions object, no annotations, and no output schema, the description leaves key operational details unresolved: substitution key semantics, expression syntax, and error conditions. It is too thin for the parameter complexity.

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% and the description never names or explains the two parameters. It loosely implies an expression plus substitutions, but adds no format, key-matching, or value-type detail beyond the schema's anyOf for number/string.

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 names a specific verb pair (substitute and evaluate) and a specific resource (an expression), and clarifies the result is numeric. It does not explicitly distinguish this from sibling tools like symbolic_solve or symbolic_calculus, 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.

Usage Guidelines2/5

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

There is no when-to-use guidance, no exclusions, and no named alternative, despite the presence of closely related siblings (symbolic_solve, symbolic_calculus). The usage is only inferable from the verb phrase, which the rubric rates as absent guidance.

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