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danielsimonjr

UpMath MCP Server

render_batch

Render multiple LaTeX equations simultaneously, saving each as an SVG or PNG file in a specified directory.

Instructions

Render multiple LaTeX equations at once, saving each to a file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
equationsYesArray of {name, latex} to render
formatNoOutput formatsvg
outputDirYesDirectory to save files
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool renders and saves files, but doesn't cover critical aspects like error handling, performance (e.g., rate limits), file overwriting behavior, or output details. This leaves significant gaps for an agent to understand how to use it effectively.

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, efficient sentence that directly states the tool's purpose without any fluff. It's front-loaded and every word contributes to understanding the core functionality.

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?

Given the complexity of a batch rendering tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens on success/failure, file naming conventions, or output format details, leaving the agent with incomplete context for proper usage.

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?

The schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond what's in the schema (e.g., it doesn't explain parameter interactions or provide examples). This meets the baseline for high schema coverage.

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 clearly states the action ('render multiple LaTeX equations at once') and outcome ('saving each to a file'), which is specific and distinguishes it from single-equation tools like render_equation. However, it doesn't explicitly differentiate from similar batch tools like render_batch_cached, leaving some ambiguity.

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 render_batch_cached, render_equation, or render_equation_sheet. It mentions the basic function but lacks context about scenarios, 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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