docs
Server Details
Political Comms documentation MCP server: search docs, query the docs filesystem. No auth.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.6/5 across 3 of 3 tools scored.
Each tool has a clear, distinct purpose: query_docs_filesystem for reading full pages, search_political_comms for finding relevant snippets, and submit_feedback for reporting issues. No overlap in functionality.
Tool names are inconsistent: one is very long with nested underscores (query_docs_filesystem_political_comms), another is shorter (search_political_comms), and submit_feedback follows a different pattern. No consistent verb_noun structure across all names.
Three tools cover the core needs of documentation access and feedback. While slightly minimal, the set is well-scoped for its purpose and does not feel bloated or incomplete.
The server provides search and full-page retrieval (via filesystem commands) plus feedback. Users can explore, read, and report issues. Minor gap: no dedicated 'list pages' tool, but tree/ls in query covers it. Suitable for the domain.
Available Tools
3 toolsquery_docs_filesystem_political_commsARead-onlyIdempotentInspect
Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at / that contains ONLY the Political Comms documentation pages and OpenAPI specs. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks.
This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its .mdx path (e.g. /quickstart.mdx, /api-reference/create-customer.mdx) to head or cat. To search the docs with exact keyword or regex matches, use rg. To understand the docs structure, use tree or ls.
Workflow: Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path.
Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run --help on any command for usage.
Each call is STATELESS: the working directory always resets to / and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with && or pass absolute paths (e.g., cd /api-reference && ls or ls /api-reference). Do NOT assume that cd in one call affects the next call.
Examples:
tree / -L 2— see the top-level directory layoutrg -il "rate limit" /— find all files mentioning "rate limit"rg -C 3 "apiKey" /api-reference/— show matches with 3 lines of context around each hithead -80 /quickstart.mdx— read the top 80 lines of a specific pagehead -80 /quickstart.mdx /installation.mdx /guides/first-deploy.mdx— read multiple pages in one callcat /api-reference/create-customer.mdx— read a full page when you need everythingcat /openapi/spec.json | jq '.paths | keys'— list OpenAPI endpoints
Output is truncated to 30KB per call. Prefer targeted rg -C or head -N over broad cat on large files. To read only the relevant sections of a large file, use rg -C 3 "pattern" /path/file.mdx. Batch multiple file reads into a single head or cat call whenever possible.
When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the .mdx extension. For example, /quickstart.mdx becomes /quickstart and /api-reference/overview.mdx becomes /api-reference/overview.
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | A shell command to run against the virtualized documentation filesystem (e.g., `rg -il "keyword" /`, `tree / -L 2`, `head -80 /path/file.mdx`). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds significant context: statelessness (working directory resets), output truncation at 30KB, no writes/network/process control, and the sandbox nature. This goes well beyond what annotations provide.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is length-appropriate for the tool's complexity (virtual filesystem with many commands). It is well-structured: starts with purpose and key caveats, then workflow, commands, statelessness, examples, and output limits. Every sentence adds necessary information, with no fluff or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has only one parameter, no output schema, and a complex virtual filesystem, the description thoroughly covers all necessary context: the virtual nature, supported commands, statelessness, output truncation, workflow relative to sibling tools, and examples for common tasks. It leaves no gaps for an agent to misuse the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for the single parameter, providing a baseline of 3. The description adds substantial value by listing supported commands, providing multiple concrete examples, and explaining how to chain commands and handle absolute paths, which helps the agent formulate correct command strings.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool runs read-only shell-like queries against a virtualized documentation filesystem. It distinguishes from the sibling search tool by specifying this tool is for exact keyword/regex matching, structural exploration, or reading full page content, while the search tool is for broader queries.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit when-to-use guidance: start with the search tool for broad queries, use this tool for exact matching or reading pages. It also outlines a workflow and notes statelessness, helping the agent understand usage patterns and limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_political_commsSearch documentationARead-onlyIdempotentInspect
Search across the Political Comms knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Political Comms, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to head or cat the page path (append .mdx to the path returned from search — e.g. head -200 /api-reference/create-customer.mdx).
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and non-destructive. Description adds that returns contextual content with titles and direct links, and how to get full content. Does not contradict annotations. Slight deduction for not mentioning any rate limits or authentication needs, but annotations cover safety.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences: purpose, usage context, and complementary tool guidance. No fluff, all sentences add value. Front-loaded with the action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a search tool with one parameter, no output schema, and clear annotations, the description is complete. It covers what it returns and how to proceed for full content, which is the main follow-up action.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Only one parameter 'query' with schema description 'Search query'. Description does not add additional semantics beyond rephrasing the schema. With 100% schema coverage, baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the tool searches the Political Comms knowledge base for relevant information, code examples, API references, and guides. Explicitly distinguishes from sibling tool query_docs_filesystem_political_comms by advising to use that for full content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit guidance on when to use the tool ('answer questions about Political Comms, find specific documentation') and when to use the sibling tool for full page content. Also mentions the exact command format with an example.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
submit_feedbackSubmit documentation feedbackAInspect
Report a problem with this documentation site so the docs team can fix it. Use when a documentation page is incorrect, outdated, confusing, incomplete, or has a broken example. This is for feedback about the documentation content itself — not for product support requests or feedback about this tool or assistant.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | The documentation page path the feedback is about (e.g., the page you were reading, such as `/quickstart`). | |
| feedback | Yes | A clear description of the documentation issue or suggestion — what is incorrect, outdated, missing, or confusing. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate non-read-only, non-destructive behavior. The description adds context that it's for documentation feedback submission, consistent with annotations. No contradictions. However, it could mention if a ticket is created or any confirmation, but given annotations, this is adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with no wasted words. It front-loads the purpose, provides usage guidance, and sets boundaries efficiently. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple 2-parameter tool with no output schema, the description covers purpose, usage scope, and exclusions. No additional information is necessary for correct agent invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with clear descriptions for both 'path' and 'feedback'. The description adds minimal additional meaning beyond schema (e.g., 'the page you were reading'). Baseline of 3 is appropriate as schema already documents parameters fully.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Report a problem with this documentation site'. It specifies the verb 'report' and the resource 'documentation feedback', effectively distinguishing it from sibling tools like query_docs_filesystem_political_comms and search_political_comms, which handle political communications.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use: 'Use when a documentation page is incorrect, outdated, confusing, incomplete, or has a broken example.' It also clarifies what it is not for: 'not for product support requests or feedback about this tool or assistant,' providing clear exclusion guidelines.
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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