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Plutio MCP by usefulapi

List conversations

plutio_list_conversations
Read-only

Inbox conversations: subject, participants, last message. Returns { count, next_skip, items }; pass next_skip as skip for the next page. Pass id to read one record. Filter with exact-match fields or a MongoDB-style query. GET /conversations.

Input Schema

NameRequiredDescriptionDefault
idNoRead just this record (its _id).
skipNoRecords to step over, for paging. Pass the previous reply's next_skip.
sortNoSort as <field>_asc or <field>_desc, e.g. createdAt_desc (most resources sort on createdAt and updatedAt).
limitNoRecords per page, 1-100 (default 25).
queryNoA MongoDB-style query as a JSON object string, e.g. {"name.first":{"$regex":"^Tay","$options":"i"}} or {"dueDate":{"$lt":"2026-12-01"}}. Supports $regex, $in, $gte and the rest.
filtersNoExact-match filters on any record field, e.g. {"role":"client"} or {"projectId":"abc123"}.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds real value on top: the response envelope { count, next_skip, items }, the paging contract (feed next_skip back as skip), and the single-record mode via id. It does not mention rate limits or whether the query/filters are combined with AND, which keeps it shy of a 5.

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?

Five short sentences with zero filler, and the most important facts (resource, return shape, paging) are front-loaded. The telegraphic fragment style is dense but slightly harder to parse than full sentences, which is the only reason it is not a 5.

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?

There is no output schema, so the description must explain return values — and it does, giving the envelope keys and the pagination token flow. Combined with the record-read mode and filtering options, an agent has enough to call it correctly; only secondary details (default sort, auth requirements, filter/query interaction) are absent.

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 all six parameters are already documented in the input schema, including the same pagination hint ('pass the previous reply's next_skip'). The description largely restates that, adding only the linkage between the returned next_skip and the skip input; baseline 3 applies when the schema carries the load.

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 the resource precisely ('Inbox conversations') and names the fields returned (subject, participants, last message), so an agent knows exactly what collection this enumerates. It also pins the underlying endpoint (GET /conversations). It stops short of an explicit verb like 'list' — that is inferred from the paging/return-shape language — and there is no sibling list tool for conversations to differentiate against.

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?

Provides mode-selection guidance inside the tool: pass 'id' to read one record, use 'filters' for exact match versus 'query' for MongoDB-style operators. That tells the agent how to shape a call but not when this tool should be chosen over alternatives (e.g. list_comments or list_notes for adjacent content), so selection guidance is only implied.

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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