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HelpCrunch MCP by usefulapi

List chats

helpcrunch_list_chats
Read-only

List / search chats (conversations). Optionally filter with a single field/operator/value clause (comparison AND), sort (e.g. chats.createdAt) with order, and paginate with limit/offset. HelpCrunch REST: POST /chats/search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoField to sort by, e.g. chats.createdAt.
fieldNoField to filter on (e.g. customers.email, chats.status).
limitNoMax records to return (pagination limit).
orderNoSort direction.
valueNoValue to compare the field against (used with field + operator).
offsetNoRecords to skip (pagination offset).
operatorNoFilter comparison operator (used with field + value).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, so the safety profile is already covered; the description adds genuinely new behavioral context, notably the constraint that only a single field/operator/value clause with AND comparison is supported, plus the sort/pagination model. It still omits return shape and any rate-limit or result-count behavior, so it is strong but not exhaustive.

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?

Three short sentences: purpose first, then the filter/sort/pagination capabilities, then the underlying endpoint. Every sentence carries information and none is redundant with the schema.

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?

For a 7-parameter, read-only listing tool with no output schema and minimal annotations, the description covers filtering, sorting and pagination adequately. It could say more about what a result set contains or default limits, but it is sufficient for correct invocation.

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 description coverage is 100%, giving a baseline of 3, but the description adds meaning beyond the schema by explaining that field, operator and value compose a single AND clause and that sort/order pair together with an example field (chats.createdAt). That compositional constraint is not stated in the schema itself.

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 specific verb and resource ('List / search chats (conversations)') and even names the backing REST endpoint (POST /chats/search), so the agent knows this is a collection-listing/query tool rather than a single-fetch tool. It does not explicitly name a sibling such as helpcrunch_get_chat to contrast with, so it stops short of a 5.

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?

It conveys the mechanics of use (filter with a single field/operator/value clause, sort plus order, limit/offset) but never states when to choose this tool over helpcrunch_get_chat or helpcrunch_get_chat_messages, nor any prerequisites. Usage is implied by the operation rather than explicitly guided.

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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