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Google Flow Agent MCP Server by useapi.net (third-party)

List Flow agent chats

flow_agent_list_chats
Read-onlyIdempotent

List the agent chats of a Google Flow account (in its agent project, or the projectId given): chatId, title, created, updated and whether a turn is running. GET /agent/chats.

Input Schema

NameRequiredDescriptionDefault
emailNoThe Google Flow account email. Optional when the API token has one Flow account.
projectIdNoA Flow project id, instead of the account's own agent project ("My Agents Work <date>", made on its first chat).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is fully covered. The description adds useful context by naming the returned fields and the GET endpoint, but says nothing about pagination, result limits, or auth requirements beyond the implicit token.

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?

One dense sentence that front-loads the action, then the scope, then the returned payload, ending with the endpoint. No filler and nothing redundant.

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 no output schema, the description compensates well by naming the fields returned (chatId, title, created, updated, running-turn status). What remains missing is pagination/limit behavior and relationship to the other chat siblings, but for a zero-required-parameter read tool this is close to complete.

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

Parameters3/5

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

Schema description coverage is 100%, so both email and projectId are already documented in the schema, including the optional-when-single-account nuance. The description's 'in its agent project, or the projectId given' restates the projectId semantics without adding syntax or format detail, so the baseline 3 applies.

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 and resource ('List the agent chats of a Google Flow account') and enumerates the returned fields (chatId, title, created, updated, running turn). The list-vs-get-vs-delete distinction from siblings like flow_agent_get_chat is clear from the name and description, though no sibling is explicitly named.

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?

Usage is only implied by the verb 'List'; there is no explicit statement of when to call this versus flow_agent_get_chat or flow_agent_chat, nor any prerequisites. The one guidance-like clause ('in its agent project, or the projectId given') describes scoping rather than when-to-use.

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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