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SHSharkar

MCP Mathematics

Session Calculation

session_calculate

Evaluate mathematical expressions within a session, storing results in variables for multi-step calculations.

Instructions

Session calculation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesSession identifier
exprYesMathematical expression to evaluate
var_nameNoVariable name to store result

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations are empty, and the description provides no behavioral information beyond the name. It does not clarify whether the tool mutates session state, requires specific permissions, or what the return value is, despite an output schema existing.

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?

While very short, it is under-specified rather than concise. It lacks essential information to be considered efficient.

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

Completeness1/5

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

Given the tool's complexity (3 parameters, output schema, many similar siblings), the description is completely inadequate. It fails to explain what a session calculation is, how it differs from other calculation tools, or how to use it effectively.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema documents all parameters. The description adds no extra meaning beyond the parameter titles, so it meets the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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?

No guidance on when to use this tool vs alternatives such as calculate_expression or batch_calculate. No context on prerequisites or exclusions.

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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