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Flowlines - MCP Analytics

Get topic map segment

get_map_segment
Read-onlyIdempotent

Get one segment from a Flowlines analysis map.

Input Schema

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

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
noticeNo
truncationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that: it does not say what happens if cluster_key/subject do not resolve, or how segments relate to the parent map. With annotations carrying the behavior burden, this is minimal added value.

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?

A single efficient sentence with the resource front-loaded and no filler. It is not bloated, though it is arguably too terse to carry its share of the definition's job.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values need not be described, but the tool is identifier-driven and the description provides no acquisition path for namespace_id, subject, or cluster_key. For a 5-required-param read tool, that leaves a real gap in callability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Five required parameters at 60% schema coverage, and the description adds no parameter meaning at all. Undocumented parameters such as subject and cluster_key are explained in neither the schema nor the description, so an agent gets no help on how to construct them.

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?

The description states a concrete verb+resource (get one segment from a Flowlines analysis map), which is more specific than the title. However, it does not distinguish itself from the obvious sibling get_map (map vs. segment) or explain what a 'segment' is, so an agent must infer the relationship.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no indication that get_map should be called first to obtain identifiers, and no stated alternatives among the many sibling tools. The description is purely declarative.

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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