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devenv

boris-mcp

by devenv

send_message

Send a pull-based message for the owner to read at their convenience. Replies appear in your inbox when available.

Instructions

Leave a message for the owner. Pull-based, like whats_new(): there is no push, the owner reads this via inbox() on their own schedule, and any reply shows up in my_messages() the next time you poll it.

body is stored and returned as opaque text — write whatever you want a human to read. It is capped at 4000 characters and is never interpreted, templated, or executed by this server or by anything that displays it.

thread is a conversation key you choose; leave it blank to start a new one and reuse the value you get back to keep a conversation together. Sending is rate-limited per caller so one subject cannot bury the owner's inbox before they have looked at it once.

Tier: headhunter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
threadNo
Behavior5/5

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

No annotations exist, so description carries full burden. It details that body is opaque text, capped at 4000 chars, never interpreted; thread is a user-chosen conversation key; rate limiting per caller; and that this is pull-based with no push.

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?

The description is slightly lengthy but well-structured with front-loaded purpose and subsequent behavioral details. Each sentence adds value, though some redundancy could be trimmed.

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

Completeness5/5

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

For a tool with only two parameters and no output schema, the description covers all necessary aspects: purpose, parameter behavior, rate limits, and interaction model. No information gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but description fully explains both parameters: body is opaque text with a 4000-character cap, thread is a conversation key with instructions to leave blank for new or reuse for continuity.

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 'Leave a message for the owner' and distinguishes this pull-based tool from siblings like inbox() and my_messages(). It explains the communication pattern without ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear context for usage (sending a message) and explains the pull-based nature with references to inbox() and my_messages(). Does not explicitly state when not to use, but the purpose is well-defined.

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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