search_within

Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into the prompt — search...

SERVER19hz SOURCEhttps://gateway.pipeworx.io/19hz/mcp
Low RISK CLASS
Category Read
Parameters 32 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pipeworx-io-19hz/search-within.md

What search_within does on 19hz

AI agents call search_within to retrieve information from 19hz without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
text string Yes The document text to search inside (max ~200K chars).
limit number Max passages to return (1-20, default 5).
query string Yes Natural-language query — what passages do you want? E.g. "supply-chain risk", "fiscal year 2024 revenue", "drug interactions with warfarin".

Parameters from the server's own tool schema.

Why search_within is rated Low

This tool retrieves and queries data (semantic search over document passages) with no side effects. It does not create, modify, delete, or execute code—it only extracts and ranks existing text passages for reference. The low severity reflects minimal blast radius: misuse would return irrelevant passages but cannot corrupt data, trigger external actions, or commit financial transactions.

From the tool's definition Tool performs 'semantic search INSIDE a fetched record' and returns 'passages with character offsets and similarity scores'.

Risk signalsBulk/mass operation — affects multiple targets

Questions about search_within

What does the search_within tool do? +

Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into the prompt — search_within saves context, returns only the passages that matter, and every passage carries an offset so the agent can verify a verbatim quote. Pairs with ask_pipeworx_grounded: fetch with the gateway, ground over the relevant passages instead of the whole document. BGE-base-en embeddings + cosine over 500-char overlapping windows; cap is 200K chars (longer inputs are truncated and flagged). It is categorised as a Read tool in the 19hz MCP Server, which means it retrieves data without modifying state.

What parameters does search_within accept? +

search_within accepts 3 parameters: text, limit, query. Required: text, query. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on search_within? +

Register the 19hz MCP server in PolicyLayer and add a rule for search_within: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches 19hz. Nothing to install.

What risk level is search_within? +

search_within is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_within? +

Yes. Add a rate_limit block to the search_within rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block search_within completely? +

Set action: deny in the PolicyLayer policy for search_within. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides search_within? +

search_within is provided by the 19hz MCP server (https://gateway.pipeworx.io/19hz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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