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Flowlines - MCP Analytics

Fetch Flowlines evidence

fetch
Read-onlyIdempotent

Fetch a search result by the opaque locator returned from the search tool. Results may contain end-user personal data: quote minimally and mask direct identifiers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
reasonYesA short phrase saying why you are calling this tool, for example: find unpaid invoices.
user_intentYesOne sentence describing what the user is trying to accomplish. Keep it the same across calls until the user's goal changes.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
noticeNo
truncationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavioral context beyond them: results may contain end-user personal data and must be quoted minimally with identifiers masked. It stops short of describing failure modes for stale/invalid locators.

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 tight sentences with no filler: the first defines the operation and its input source, the second carries the privacy constraint. Front-loaded and every clause earns its place.

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?

With an output schema present, return values need no explanation, and annotations cover the safety profile; the description adds the provenance of the locator and the PII handling rule. The remaining gap is the absence of any explicit alternative-selection guidance among the many get_* siblings.

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 67% and the required `id` parameter has no schema description, so the description carries that gap by explaining the id is an opaque locator obtained from the search tool rather than a user-facing identifier. This is meaningful disambiguation for the one undocumented parameter.

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?

States a specific verb (Fetch), resource (a search result), and the retrieval key (opaque locator returned from the search tool), which separates it from sibling `search` that produces those locators. It does not, however, distinguish itself from other retrieval siblings such as get_turn/get_session, and the title's 'Flowlines evidence' is unexplained jargon.

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 phrase 'returned from the search tool' implies the prerequisite workflow (search first, then fetch by locator), which is useful routing context. But there is no explicit when-to-use/when-not, and no guidance on choosing fetch over get_session/get_turn for the same underlying data.

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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