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Excel/CSV to Markdown

claix.markdown.excel
Read-onlyIdempotent

Convert Excel/CSV to Markdown (POST /api/excel-markdown). No schema_id. Optional save=true inserts into the connected DB using Markdown rules and may return row_id; omit/false returns markdown only.

Input Schema

NameRequiredDescriptionDefault
saveNoWhen true, insert into the connected DB using Markdown rules and may return row_id. Omit or false: return markdown only.
api_keyNoAPI key secreta de Claix. Ejemplo: claix_sk_abc123.... Opcional si la conexión MCP envía x-api-key en cabecera HTTP (recomendado en Smithery/Cursor).
filenameNoNombre original del archivo con extensión. Ejemplo: factura-2026-03.pdf. Ayuda a inferir el MIME cuando envías file_base64.
file_pathNoURL HTTPS pública del archivo a procesar. Ejemplo: https://cdn.example.com/factura.pdf. No uses rutas locales del PC del usuario.
file_base64NoArchivo codificado en Base64. Acepta data URLs (data:application/pdf;base64,...) o Base64 puro. Ejemplo de uso: adjunta el PDF/imagen del chat como Base64 antes de llamar a extract_*.

Output Schema

NameRequiredDescriptionDefault
dataNoJSON payload from the Claix API (extracted records, schema list, or Excel export metadata).
errorNoHuman-readable error message when success is false.
successYesTrue when Claix returned a successful response. False when isError is set on the tool result.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior1/5

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

The annotations declare readOnlyHint=true, but the description states that save=true inserts into the connected DB using Markdown rules and may return a row_id — a mutation side effect. A tool that can write to a database cannot truthfully be advertised as read-only, so the description directly contradicts the annotation.

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?

Two/three compact sentences with the primary purpose front-loaded, endpoint in parentheses, then the save branching. Efficient and scannable, with little wasted text.

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?

An output schema exists, so return values need not be re-explained, and the save/return-only behavior is covered. However, the annotation contradiction leaves the side-effect profile ambiguous, and the file-source parameters are left entirely to the schema.

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 every parameter (save, api_key, filename, file_path, file_base64) is already documented in the schema. The description only restates the save semantics and adds a 'No schema_id' note, adding marginal value beyond the schema baseline.

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?

States a specific verb+resource ('Convert Excel/CSV to Markdown') and even names the backing endpoint (POST /api/excel-markdown). The format (Excel/CSV) implicitly distinguishes it within the claix.markdown.* family (audio/doc/image/pdf/text), though it never explicitly names a sibling.

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

Usage Guidelines3/5

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

The 'No schema_id' note and the save-vs-return-only branching imply when to use each mode, but there is no explicit guidance on how this differs from claix.agent.excel or claix.convert.json_to_excel, nor on prerequisites or file-source selection.

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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