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PDF.co MCP Server

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by pdfdotco
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Python
Remote

pdf_make_searchable

Convert scanned PDFs or images into text-searchable PDFs by running OCR and adding an invisible text layer for text search.

Instructions

Convert scanned PDF documents or image files into a text-searchable PDF.
Runs OCR and adds an invisible text layer that can be used for text search.
Ref: https://developer.pdf.co/api/pdf-change-text-searchable/searchable.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to the source file. Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files.
langNoLanguage for OCR for scanned documents. Default is 'eng'. See PDF.co docs for supported languages. (Optional, Default: 'eng')eng
nameNoFile name for the generated output. (Optional)
pagesNoComma-separated page indices (e.g., '0, 1, 2-' or '1, 3-7'). Use '!' for inverted page numbers (e.g., '!0' for last page). Processes all pages if None. (Optional)
api_keyNoPDF.co API key. If not provided, will use X_API_KEY environment variable. (Optional)
passwordNoPassword of the PDF file. (Optional)
profilesNoExtra engine options for this endpoint as a JSON object encoded in a string. The options differ per endpoint; see https://developer.pdf.co/api/profiles. (Optional)
expirationNoLifetime of the output link in minutes; the output file is deleted afterwards. API default is 60; the maximum depends on the plan. (Optional)
httppasswordNoHTTP auth password if required to access source url. (Optional)
httpusernameNoHTTP auth user name if required to access source url. (Optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.0.11
    • addedInput schema / properties / expiration
      Added value: +{
+  "anyOf": [
+    {
+      "type": "integer"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "Lifetime of the output link in minutes; the output file is deleted afterwards. API default is 60; the maximum depends on the plan. (Optional)",
+  "title": "Expiration"
+}
    • addedInput schema / properties / profiles
      Added value: +{
+  "default": "",
+  "description": "Extra engine options for this endpoint as a JSON object encoded in a string. The options differ per endpoint; see https://developer.pdf.co/api/profiles. (Optional)",
+  "title": "Profiles",
+  "type": "string"
+}
  2. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully explains that OCR runs and an invisible text layer is added, but it omits critical operational behavior such as whether this is an asynchronous job, how the output is delivered (link vs. file), and any auth or rate-limit context.

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?

Three sentences with no waste: the purpose is front-loaded, the OCR mechanism is described next, and a reference link follows. Every sentence adds distinct value.

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

Completeness2/5

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

For a 10-parameter, no-annotation OCR tool with no output schema, the description is missing key context about return values, job handling, and output delivery. The input schema is rich, but the absence of output-schema documentation means the description should have explained what the agent receives after calling the tool.

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 has 100% description coverage for all 10 parameters, so the schema already documents each parameter thoroughly. The description adds no parameter-specific semantics beyond what the schema already provides, which is the baseline expectation when schema coverage is high.

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 states a specific verb and resource: converts scanned PDFs or images into a text-searchable PDF via OCR. It clearly distinguishes the operation from extraction tools like pdf_to_text, though it does not explicitly name any 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 context of use is implied by 'scanned PDF documents or image files,' giving the agent a reasonable trigger. However, the description does not state when to prefer this tool over alternatives such as pdf_to_text or pdf_make_unsearchable, nor does it list prerequisites or exclusions.

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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