PDF Agent MCP

by vlad-ds

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Latest release: v1.0.0
Disambiguation5/5
Each tool has a clearly distinct purpose: downloading, metadata extraction, outline extraction, text extraction, image extraction, and searching (single or multiple PDFs). No two tools overlap in functionality.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (e.g., download_pdf, get_pdf_metadata, search_pdf). No mixing of conventions.
Tool Count5/5
Seven tools is a well-scoped set for a PDF agent, covering essential operations without being excessive or insufficient for the domain.
Completeness4/5
The tool set covers core read-only operations (download, metadata, outline, text, images, search). A minor gap is the lack of OCR for scanned PDFs, but overall coverage is strong.
Average 4.2/5 across 7 of 7 tools scored. Lowest: 3.6/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- Last stable release on July 4, 2025
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. It mentions default subfolder and filename extension handling but omits critical behaviors such as overwrite policy, error handling for invalid URLs, or required permissions. For a download tool, more detail is needed.
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 sentences, no redundancy. Front-loaded with the primary action. Every word adds value.
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?
Given no output schema, the description appropriately states the return value (full path). It also covers home directory and default subfolder. Missing details on size limits, supported protocols, and overwrite policy, but these are secondary for a tool whose siblings are text/metadata extractors.
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 baseline is 3. The description adds context about the home directory (~/pdf-agent/) not in the schema. However, it largely restates schema descriptions (e.g., default subfolder, filename extension). No additional semantic depth beyond this.
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 action (download a PDF from a URL) and the resource (save to PDF agent home directory), with specific details about subfolder and return path. It effectively distinguishes from sibling tools that focus on extracting content from already-downloaded PDFs.
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?
Usage context is implied: this tool is a prerequisite for sibling tools. However, there is no explicit guidance on when to use it vs. alternatives, nor any mention of when not to use it (e.g., for non-PDF URLs).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It correctly indicates a read-only operation (extract metadata) and implies no side effects. However, it does not mention potential behaviors for edge cases like encrypted PDFs or missing files, which would be useful.
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 two sentences, front-loading the action and listing key metadata types. Every sentence adds value without unnecessary words, achieving high efficiency.
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?
Given the 3 optional parameters, no output schema, and no annotations, the description adequately covers the tool's purpose and parameter usage. It lists expected return values (page count, file size, etc.) but could mention error handling for invalid paths.
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 covers all 3 parameters with descriptions, so schema coverage is 100%. The description adds marginal value by explaining when to use each path parameter, but does not enrich beyond the schema's existing detail.
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 explicitly states the tool extracts metadata and basic information from PDF files, listing specific items like page count, file size, creation dates, and document properties. This clearly distinguishes it from sibling tools that handle downloading, text extraction, or search.
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 guidance on parameter selection: use absolute_path for any location or relative_path for files in ~/pdf-agent/ directory. While it doesn't explicitly state when not to use the tool, the context is sufficient for most use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description effectively discloses parallel processing behavior, concurrency limits, and per-file error handling. Adequately covers behavioral expectations for a search tool.
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?
Four concise sentences with no redundancy. Front-loaded with the main purpose, followed by performance tips and result structure.
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?
Given 8 parameters and no output schema, the description covers core behavior, parallelism advice, and result structure (matches and errors). Could elaborate on output format but remains largely 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 baseline is 3. Description adds context on parallelism optimization and page range defaults but does not significantly deepen understanding beyond schema descriptions.
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 it searches text patterns across multiple PDF files in parallel, distinguishing it from the sibling 'search_pdf' which likely handles single files.
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?
Provides explicit guidance on using high parallelism for large batches and preferring single calls over multiple smaller calls. Lacks explicit when-not-to-use, but sibling context implies single-file scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses base64 return format, slicing syntax, and path handling. Does not mention potential side effects or performance but is otherwise transparent.
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?
The description is somewhat long but front-loaded with purpose. Each sentence adds value, covering purpose, usage, syntax, and return format. Could be slightly more concise but overall well-structured.
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?
Given no output schema, the description explains return format. It covers all 8 parameters with default values and syntax. Provides sufficient context for the agent to use the tool correctly.
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 baseline is 3. The description adds value by explaining the page_range syntax in detail (including comma-separated combinations) and clarifying the path options, which is beyond the schema descriptions.
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 specific pages or page ranges from a PDF as images, for visual analysis of charts, diagrams, etc. It distinguishes from text extraction tools and explicitly mentions what it captures that text cannot.
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 (for visual content), and implies when not to use (use text extraction for text). It gives explicit slicing syntax and path options. Could be more explicit about alternatives but is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It fully describes the output: hierarchical or flattened list with titles, page references, and navigation structure. No contradictions or omissions of behavioral traits like read/destructive nature.
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 sentences efficiently deliver the core purpose and key usage guidance. No redundant information, front-loaded with the main action.
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?
Despite no output schema, the description sufficiently describes the return format. It covers the key parameters but could mention edge cases like missing outline. Still, it provides enough for an agent to understand inputs and outputs.
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%, baseline 3. The description adds value by explaining the usage of 'absolute_path' vs 'relative_path' in context, and implies the effect of 'flatten_structure' by mentioning both hierarchical and flat outputs.
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 the table of contents/outline/bookmarks from a PDF, which distinguishes it from siblings like get_pdf_text (text extraction) and get_pdf_images (image extraction). The verb 'extract' and resource are specific.
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 explicitly guides the agent to use 'absolute_path' for any location or 'relative_path' for files in ~/pdf-agent/. This provides clear context on parameter selection, though it lacks explicit when-not-to-use or alternatives among siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description handles transparency. It discloses early stopping behavior and regex format, and implies it is a read-only operation. It could add error handling details but is sufficient for a search tool.
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, each adding unique value: purpose, features, regex syntax. Front-loaded and no redundancy.
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?
Given 9 parameters with full schema descriptions and no output schema, the description covers the main behavior. It could brief the return format, but 'matching pages with context snippets' is adequate.
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 baseline is 3. The description adds value by explaining the regex format (/pattern/flags) and early stopping parameters, enhancing understanding 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 is for searching text patterns (including regex) within a PDF and returning matching pages with context snippets. It distinguishes from siblings like search_multiple_pdfs (multi-PDF) and get_pdf_text (full text extraction).
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 explains when to use the tool (searching for patterns) and mentions performance features (early stopping). However, it does not explicitly state when not to use it or mention alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, description fully carries behavioral disclosure. It details native extraction, Python-style slicing, default page range, and extraction strategy. It also notes the 'hybrid' strategy and preservation options, giving agents a clear understanding of behavior.
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?
Concise, well-structured description: starts with purpose, then gives examples, usage notes, and limitations. Every sentence is informative with no redundancy. Front-loaded with core functionality.
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?
Covers purpose, parameter usage, defaults, limitations, and extraction strategies. Minor gap: no description of output format (e.g., raw text concatenation), but overall sufficient given sibling tools and no output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, baseline 3, but description adds significant value beyond schema: explicit Python slicing examples, clarification of absolute vs relative paths, explanation of extraction strategies, and defaults. This greatly aids agent in parameter selection.
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?
Description clearly states extraction of text from PDF pages using native text extraction. It specifies the resource (PDF file) and action (extract text), and supports page ranges, distinguishing it from siblings like get_pdf_images or get_pdf_metadata.
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?
Provides explicit guidance on when to use (PDFs with native text) and limitations (scanned PDFs may yield limited results). It explains path options and slicing syntax, but does not explicitly compare to siblings like search_pdf for alternative use cases.
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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