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render_entities_markdown

Generates a Markdown file (entities.md) from a JSONL file (entities.jsonl) to organize and manage mathematical entities for project formalization workflows within Formath MCP.

Instructions

Regenerate formath/entities.md from formath/entities.jsonl for a project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_rootNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden but lacks behavioral details. It states 'Regenerate' which implies a write operation, but doesn't disclose effects (e.g., overwrites existing file, requires specific permissions), response format, or error handling. This is inadequate for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It's appropriately sized for its purpose, though it could be slightly more informative without losing conciseness.

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?

Given the tool has an output schema (which handles return values), the description's main gap is lack of behavioral transparency and parameter details. For a regeneration tool with no annotations, it's minimally adequate but leaves critical aspects like mutation effects and parameter usage unclear, making it incomplete for safe operation.

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 0%, so the description must compensate, but it doesn't mention the 'project_root' parameter at all. The baseline is 3 because the schema covers the parameter structure, but the description adds no value beyond implying a project context, failing to explain parameter meaning or usage.

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 ('Regenerate') and the specific resource ('formath/entities.md from formath/entities.jsonl'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'render_checklist_markdown' or 'tasks_autogen_from_entities', which might involve similar markdown or entity processing, preventing a perfect score.

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 minimal guidance, only implying usage when entities.md needs regeneration from entities.jsonl. It offers no explicit when-to-use rules, alternatives (e.g., vs. 'tasks_autogen_from_entities'), or prerequisites, leaving the agent to infer context without clear direction.

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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