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Compile the open Overleaf project

compile

Trigger a LaTeX build on Overleaf and receive a summary of errors, warnings, and output files. Use error_count to verify a clean build, since status 'success' can still contain errors.

Instructions

Triggers a LaTeX compile on Overleaf's CLSI, then fetches output.log and returns a unified summary: status, whether a PDF was produced, error_count (parsed ! -prefixed log lines), warning_count, first error lines, output file list, timings. Note: Overleaf returns status:"success" even when LaTeX has errors (PDF is still generated under nonstopmode). The truthful 'did it build cleanly?' check is error_count === 0. Use read_log for the full log when more context is needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
draftNoDraft mode — faster but uses placeholder images for figures.
root_docNoProject-relative path to use as the LaTeX root (e.g. 'main.tex'). Defaults to the project's configured root doc.
stop_on_first_errorNoStop on the first LaTeX error instead of continuing to produce a partial PDF.
Behavior5/5

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

With no annotations, the description carries the full burden. It discloses that it fetches output.log, parses error/warning counts, returns timings, and importantly notes that Overleaf returns 'success' even when LaTeX has errors, providing a truthful check. This goes beyond basic expectations and covers key behavioral nuances.

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 three sentences long, with the main action front-loaded. Every sentence adds value: the trigger and summary, the critical caveat about status, and the pointer to read_log. No fluff.

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

Completeness5/5

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

Despite having no output schema, the description explicitly lists what the return contains (status, PDF produced, error_count, warning_count, first error lines, output file list, timings), making the tool's behavior fully comprehensible. The parameter schema is also rich, so the overall context is complete.

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 coverage is 100%, so the description doesn't need to explain parameters. It does not add extra semantics beyond what the schema already provides for draft, root_doc, and stop_on_first_error, but that's acceptable given the high baseline.

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

Purpose5/5

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

The description clearly states the tool triggers a LaTeX compile on Overleaf's CLSI and returns a unified summary. It specifies the exact action, target resource, and output fields, distinguishing it from sibling tools like read_log.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

Explicitly explains when to use this tool (to compile and get a summary) and when to use an alternative ('Use read_log for the full log when more context is needed'). It also clarifies the edge case of 'success' status to guide correct interpretation.

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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