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ai-netcafe

by com.ainetcafe
OverviewDiscussionsAdmin

PDF tables → structured rows (with schema alignment)

extract_tables
Read-onlyIdempotent

Extract tables from a PDF into structured rows (JSON + CSV). Pass fields to force a fixed set of columns — that aligns a pile of documents that each name their headers differently into one consistent table. Rows the model was unsure about are flagged rather than guessed. Text-layer PDFs only.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "extract_tables"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesPublic URL of the PDF.
fieldsNoOptional comma-separated target columns, e.g. "invoice_no,supplier,date,amount". Omit to infer from the header.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Beyond the annotations (readOnly, idempotent, non-destructive), the description adds valuable behavioral traits: 'Rows the model was unsure about are flagged rather than guessed' and the limitation 'Text-layer PDFs only.' This gives insight into output quality and compatibility without contradicting annotations.

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, front-loaded with the core function, followed by the fields explanation, then constraints and behavioral note. Every sentence adds value with no redundancy or wasted words.

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?

For a tool with two parameters and an existing output schema, the description covers purpose, parameter usage, limitations, and uncertainty handling. It is complete enough for an agent to invoke the tool correctly without additional context.

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 input schema already covers both parameters with 100% coverage, so the baseline is 3. The description adds some context for the fields parameter by explaining its purpose (aligning differently-named headers), but does not introduce new syntax or format details beyond the schema.

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 extracts tables from a PDF into structured rows (JSON + CSV), specifying the resource (PDF) and output format. It distinguishes from siblings like pdf_to_markdown or extract_statement by emphasizing structured tabular data and the option to force a fixed column set.

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

Usage Guidelines4/5

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

The description provides clear context on when to use the tool, especially for aligning documents with inconsistent headers by passing fields. It also sets a constraint with 'Text-layer PDFs only,' implying it should not be used for scanned/image PDFs, but it does not explicitly name alternative tools.

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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