pageindex-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
Each tool targets a distinct action: indexing, reading content, listing documents, retrieving structure, and deleting. No overlap or confusion between tools.
Naming Consistency5/5All tool names follow a consistent verb_noun snake_case pattern: index_document, get_page_content, list_documents, get_document_tree, delete_document.
Tool Count5/5With 5 tools, the set is well-scoped for the domain of document indexing and retrieval. Every tool serves a clear, necessary function without redundancy.
Completeness5/5The tools cover the full lifecycle of a document in the index: create (index), read (list, tree, content), and delete. No critical operations are missing given the stated purpose.
Average 4/5 across 5 of 5 tools scored.
See the Tool Scores section below for per-tool breakdowns.
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- No high-severity vulnerability alerts
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This repository is licensed under MIT License.
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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
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It correctly states that the deletion affects the local index store, which is useful, but it does not disclose permanence, side effects, or error behavior if the document ID is invalid.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single clear sentence with no redundant information, fully meeting the conciseness requirement.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter delete operation with no output schema, the description adequately covers the action and scope. It could mention that deletion is permanent, but the simplicity of the tool reduces the need for extensive detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the doc_id parameter is fully described in the schema. The description adds no additional parameter semantics beyond what is already provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Removes') and resource ('document from the local index store'), clearly distinguishing it from sibling tools like index_document and get_page_content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The intended usage is implied by the verb and resource, but there is no explicit guidance on when to use this tool over alternatives or any exclusions. It does not mention sibling tools or provide context for appropriate deletion scenarios.
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?
No annotations are provided, so the description must carry the full burden. It clearly indicates a read-only retrieval of a tree, but it does not disclose error behavior (e.g., invalid doc_id) or any limitations beyond schema hints. The description is adequate but lacks richer detail on edge cases or prerequisites.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two concise sentences, front-loaded with the primary action and usage context. Every word earns its place, with no redundancy or fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (2 params, no output schema), and the description covers what it returns and a typical use case. It could mention the structure of the returned tree or error conditions, but overall it is sufficiently complete for a tool of this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for both doc_id and max_depth, including defaults and bounds. The description adds no additional parameter meaning beyond what the schema already provides, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns the full hierarchical tree structure of an indexed document, using a specific verb ('Returns') and resource. It is easily distinguished from siblings like get_page_content (page content) and list_documents (document list).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'Useful to understand document organization before searching' provides clear context for when to use the tool, implying a pre-search orientation use case. It does not explicitly exclude alternatives or name sibling tools, but the context is clear enough.
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, the description must fully disclose behavior. It does add notable context such as 'this tool just returns raw text' and 'Claude Code handles all reasoning,' which clarifies it is a dumb read-only operation. However, it doesn't disclose potential ambiguity when providing both node_id and page parameters, nor error behavior for unindexed or missing documents. The description covers the core behavior but leaves these edge cases unaddressed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences that are front-loaded with purpose and immediately provide a workflow hint. There is no redundancy or filler; every word adds value. This is an exemplary concise structure.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having no output schema, the description states it returns raw text, which is a minimal but valid return explanation. It also captures the indexing prerequisite and the expected workflow with get_document_tree. It falls short of explicitly explaining parameter exclusivity (node_id vs. pages) or edge cases, but given the simplicity of a content-extraction tool, this is fairly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already provides 100% parameter description coverage, including the note for node_id to 'use get_document_tree to find IDs.' The description adds little new information, only a general mention of 'specific pages or a tree node.' While this reinforces the parameter usage, it doesn't significantly deepen the schema's existing guidance, so a baseline score is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description starts with 'Extracts text content from specific pages or a tree node of an indexed document,' which clearly identifies the action (extracts) and the resource (text content from an indexed document). This distinguishes it from sibling tools like get_document_tree (which returns structure) and index_document (which indexes), making the purpose unmistakable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The instruction 'Use get_document_tree first to find relevant node_ids, then call this to read the content' provides an explicit workflow and places the tool in a sequence. It doesn't explicitly state when not to use it, but the complementary relationship with get_document_tree and the contrast with other siblings (list, delete) is clear. This is solid guidance without being overly verbose.
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?
No annotations are provided, so the description carries the full burden. It mentions the local PageIndex store and that metadata is included, giving some context. However, it does not explicitly state that the operation is read-only or non-mutating, though 'Lists' strongly implies this.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no wasted words. It conveys the essential information efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with no parameters and no output schema, the description is sufficiently complete. It states what is listed and the source store. It could mention a typical use case, but that is not essential for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the schema already reflects that. With schema description coverage at 100%, the description adds no additional parameter semantics, but the baseline for zero params is 4. There is nothing missing.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Lists' with a clear resource: 'all documents in the local PageIndex store with metadata.' This clearly distinguishes it from sibling tools like index_document, get_page_content, get_document_tree, and delete_document, each of which has a different action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies when to use this tool (when you need a list of all indexed documents), but it does not explicitly mention alternatives or exclusions. Sibling tool names are visible, but no direct comparison is made.
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 the full burden. It discloses the one-time nature and external prerequisites, which are important behavioral traits. It doesn't detail filesystem side effects or failure behavior, but the core behavior is clearly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Two succinct sentences. The first front-loads the main action and output; the second compactly lists prerequisites. Every word earns its place with no redundant content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers purpose, prerequisites, and one-time behavior, and the schema fully documents all parameters. It lacks explicit return-value or error semantics, but the tool's moderate complexity doesn't demand much more.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers 100% of parameters with descriptions. The tool description itself adds no parameter-level detail beyond what the schema already provides, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Converts') with a clear resource (local PDF) and output (PageIndex hierarchical tree structure). It clearly distinguishes this indexing/write operation from the sibling read/list/delete tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
States this is a one-time operation per document and lists required environment variables (PAGEINDEX_REPO_PATH, OPENAI_API_KEY), giving clear context for when it applies. It doesn't explicitly name alternatives, but the prerequisites and one-time nature imply when it should be used versus read-only siblings.
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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