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@asyntai/mcp

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List recent conversations

list_conversations
Read-onlyIdempotent

Retrieve recent visitor conversations for a specified website, filtering by time range and lead status.

Instructions

List recent visitor conversations for one website, newest first, with the session id, message count and any email or phone the visitor gave.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoHow many days back to look (1-90, default 7).
limitNoHow many conversations to return (1-100, default 20).
website_idNoNumeric id of the website, from list_websites. Omit to use the account's primary website.
with_leads_onlyNoOnly return conversations where the visitor left an email or phone.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.2

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already establish read-only, idempotent, and non-destructive behavior, so the description does not need to restate safety. It adds the 'newest first' ordering as behavioral detail, but does not discuss side effects (which is appropriate given annotations). Overall, it provides marginal added value beyond the annotations.

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?

The description is a single focused sentence with no redundant words. It efficiently conveys the action, scope, ordering, and key output fields, making every word necessary.

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?

The description includes the essential output fields and ordering, and the schema covers parameter defaults. It lacks explicit mention of edge cases or error behavior, but for a straightforward read-only list operation, it is sufficient. Minor gaps like pagination or response format are not critical given no output schema is defined.

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?

The schema descriptions for parameters are already comprehensive (100% coverage), so the description need not explain them. It only loosely ties 'for one website' to website_id and does not add new semantics to days, limit, or with_leads_only. This meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('List recent visitor conversations'), the scope ('for one website'), ordering ('newest first'), and expected output fields. It is specific and unambiguous, leaving no doubt about the tool's purpose.

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?

The description does not mention when to use this tool versus alternatives such as get_conversation or list_leads. While the scope and ordering are implied, there is no explicit guidance on selection criteria or comparisons with sibling tools.

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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