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by buildbetter-app
OverviewSchemaRelated ServersDiscussionsAdmin
JavaScript
Remote

recent-conversation-with

Search and retrieve the most recent conversation with a specific person by name, helping product teams quickly access relevant interactions for decision-making.

Instructions

Find the most recent conversation with a specific person by name

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "recent-conversation-with"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoOptional: Maximum number of conversations to return (default: 1)
nameYesFirst or last name of the person to find

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool finds conversations, implying a read operation, but doesn't cover critical aspects like permissions needed, rate limits, error handling, or what 'most recent' means (e.g., by timestamp). For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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, efficient sentence that front-loads the core purpose without unnecessary words. It directly communicates what the tool does, making it easy to parse and understand quickly.

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?

Given no annotations, no output schema, and a tool that performs a search operation, the description is incomplete. It lacks details on return format (e.g., what data is included in conversations), error cases, or how 'most recent' is determined. For a tool with 2 parameters and no structured behavioral hints, more context is needed to be fully helpful.

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%, with clear descriptions for both parameters ('limit' and 'name'). The description adds minimal value beyond the schema, mentioning 'by name' which aligns with the 'name' parameter but doesn't provide additional context like name matching rules or default behavior for 'limit'. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the tool's purpose: 'Find the most recent conversation with a specific person by name.' It specifies the verb ('find'), resource ('conversation'), and key constraint ('most recent' with a person by name). However, it doesn't explicitly differentiate from sibling tools like 'search-extractions' or 'topic-conversations,' which might have overlapping functionality, so it doesn't reach the highest score.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, exclusions, or compare to sibling tools such as 'search-extractions' or 'topic-conversations,' leaving the agent to infer usage context without explicit direction.

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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