Skip to main content
Glama

convert_text

Text Converter — Convert text/data formats: Markdown↔HTML, CSV↔JSON, JSON↔XML/YAML, Base64 and URL encode/decode. Takes 'text' + 'from' + 'to' — there is no 'conversion_type' field. [category: convert]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesTarget format: html, md, json, csv, xml, yaml, txt. Must differ from 'from'. Supported pairs: md↔html, csv→json/xml, json↔csv, json↔xml, json↔yaml, xml→json, any→txt; for encode/decode operations set to='txt'.
fromYesSource format or operation: md, html, csv, json, xml, yaml — or base64_encode, base64_decode, url_encode, url_decode (the operation rides in 'from').
textYesThe text/data to convert. Field name is 'text' — not 'content'.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations only declare readOnlyHint=false, openWorldHint=false, destructiveHint=false. The description adds a helpful disambiguation warning, but does not clarify whether the operation is a pure in-memory conversion with no side effects or whether it writes output somewhere. Given readOnlyHint=false, the agent is left uncertain about side-effect behavior, though destructiveHint=false rules out destructive actions.

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?

Two efficient sentences deliver the core purpose, supported conversions, and critical parameter notes. The information is front-loaded and every clause earns its place. The trailing [category: convert] tag is minor metadata and does not add noise.

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

Completeness4/5

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

For a simple three-parameter converter with full schema coverage, the description covers the essential invocation details and supported pairs. It could be more complete by explicitly stating the return value (converted text in target format) and clarifying when to use alternative convert tools, but the current level is sufficient for correct basic invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds value by explicitly confirming the parameter names ('text', 'from', 'to') and warning that there is no 'conversion_type' field — a highly useful guard against a common hallucinated parameter. It also confirms that encode/decode operations ride in 'from', reinforcing 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 uses a specific verb (Convert) and resource (text/data formats), then enumerates the supported conversions (Markdown↔HTML, CSV↔JSON, JSON↔XML/YAML, Base64/URL encode-decode). This makes the tool's purpose unmistakable and distinguishes it from file-oriented siblings like convert_file or convert_archive by explicitly limiting scope to text/data formats.

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 description implies usage through the supported format list and required parameters, but never explicitly states when to prefer this tool over the many similar convert_* siblings (e.g., convert_data, convert_document, convert_file). It gives no when-not-to-use guidance or alternative routing, so an agent must infer the boundary from the format list alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.2/5.0
Disambiguation2/5

Multiple tool pairs are near-identical: octopus_mkdir/octopus_make_folder and octopus_move/octopus_move_file are literal duplicates, analyze_hash/generate_hash both compute hashes, convert_word_to_pdf overlaps convert_document, and photo_compress/photo_compress_to_size plus pdf_thumbnails/pdf_to_images have fuzzy boundaries. The descriptions are detailed and cross-reference each other helpfully, but at 144 tools an agent will regularly misselect.

Naming Consistency3/5

The dominant {category}_{verb}_{object} snake_case pattern (pdf_*, photo_*, convert_*, analyze_*, media_*) is largely consistent and predictable. However, outliers like chatwithyourpdf and describe_image break the category-prefix convention, and the octopus namespace mixes bare verbs (read, write, mkdir) with verb_noun forms (make_folder, move_file, search_meta) inconsistently.

Tool Count2/5

144 tools is an extreme count for any MCP server. The broad scope (PDF, photo, video, audio, conversion, analysis, generation, file storage, web, e-sign) justifies some volume, but the count is inflated by batch and inspect variants (pdf_to_excel + batch + inspect), duplicate tools, and overlapping converters. An agent faces an overwhelming selection surface.

Completeness4/5

Per-domain coverage is remarkably deep: PDF spans merge/split/compress/protect/unlock/metadata/OCR/watermark and bidirectional conversion; photo covers editing, format conversion, face handling, OCR, and collage; file storage has full CRUD plus search. Minor gaps exist (no audio transcription, no video metadata editing, no deletion of PDF pages is actually covered via pdf_delete_pages) but the surface has no dead ends for its declared domains.

Resources