Skip to main content
Glama
pras-labs

bichon-mcp

by pras-labs

get_email

Retrieve the full plain-text content of a specific email using account and envelope IDs from search results. Strips HTML and truncates body to ~4000 tokens.

Instructions

Get full plain-text content of an email. account_id and envelope_id come from search_emails results. HTML is stripped. Body is truncated at ~4000 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYes
envelope_idYes
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses key behaviors: HTML is stripped, body truncated at ~4000 tokens. This is good for a simple tool, though it does not cover error cases or authentication.

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?

Two sentences with no filler. Purpose is front-loaded; every sentence adds value.

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 tool with 2 parameters and no output schema, the description covers what is returned (plain-text, truncated) and the source of parameters. It omits response format details but is adequate.

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 coverage is 0%, so description must compensate. It mentions that parameters come from 'search_emails', adding context, but does not explain their format or constraints beyond that.

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 'Get full plain-text content of an email', identifying the verb (get) and resource (email). It distinguishes from sibling tools like 'search_emails' by noting that parameters come from it, and from list tools by focusing on a single email.

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?

It specifies that 'account_id and envelope_id come from search_emails results', indicating the prerequisite step. It does not explicitly list when not to use, but the context is clear.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/pras-labs/bichon-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server