Skip to main content
Glama
Rorogogogo

jobjourney-claude-plugin

by Rorogogogo

send_coffee_chat_message

Send a message in a coffee chat conversation to facilitate networking and communication during job searches, helping users connect with contacts.

Instructions

Send a message in a coffee chat conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe message content
request_idYesThe coffee chat request ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.2.5

TDQS

C2.7/5.0
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 behavioral burden and delivers almost nothing: it does not say whether this requires being part of the request, whether the message is delivered immediately, what errors occur on an invalid request_id, or what the response contains. 'Send' implies mutation but nothing about its effects is disclosed.

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?

A single short sentence with no filler, front-loaded with the verb and resource. It is efficient, though the terseness reflects under-specification rather than a well-chosen economy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter send tool with a fully documented schema and no output schema, the description is minimally viable. It omits the key operational prerequisite (belonging to an existing coffee chat request) that an agent would need to call it correctly, so it falls short of 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%, with both required parameters (content, request_id) fully documented in the schema. The description adds no syntax, format, or constraint detail beyond the schema, so the baseline 3 applies.

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

Purpose3/5

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

The description states a specific verb (send) and resource (message in a coffee chat conversation), so the purpose is legible. However it largely restates the tool name and gives no differentiation from siblings like get_coffee_chat_messages or send_coffee_chat_request. Vague but not misleading.

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?

No statement of when to use this versus the sibling messaging tools, and no preconditions such as requiring an existing coffee chat request or participant status. The agent must infer all context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools