Skip to main content
Glama
chrischall

honeybook-mcp

by chrischall

Verify credentials and upstream reachability

honeybook_healthcheck
Read-onlyIdempotent

Diagnose HoneyBook API failures by testing credential resolution and authentication, pinpointing whether the problem is missing credentials, rejected credentials, or a server-side issue.

Instructions

Resolves the credential the way real tools do, then makes one authenticated request to api.honeybook.com. Reports which source supplied the credential, whether api.honeybook.com accepted it, the round-trip time, and a plain-English hint distinguishing 'no credential' from 'credential rejected' from 'a api.honeybook.com-side problem'. Call this when a real tool fails and you want to know which hop broke. Read-only; never returns the credential itself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Addedv0.9.0

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint and idempotentHint annotations, the description discloses concrete behavioral details: it reports the credential source, whether the request was accepted, round-trip time, and a plain-English diagnosis distinguishing 'no credential' from 'credential rejected' from 'api.honeybook.com-side problem.' It also states that it never returns the credential itself, adding meaningful safety context.

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 dense but compact, with every sentence contributing real value: how it works, what it reports, when to use it, and a safety guarantee. It is front-loaded with the core mechanism and avoids redundant restatement of the title or annotations.

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?

With no output schema present, the description carries the full burden of explaining return values, and it does so well by enumerating the four reported pieces of information: credential source, acceptance status, round-trip time, and a plain-English hint. It also covers the key failure modes an agent would need to interpret, making the tool self-sufficient for a zero-parameter health check.

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

Parameters4/5

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

The tool has zero parameters, so there is no parameter semantics burden on the description. The schema is empty with 100% coverage, and the description correctly focuses on behavior and output rather than parameter documentation. This meets the baseline for a no-parameter tool.

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 identifies a specific diagnostic action: resolving credentials the way real tools do and making one authenticated request to api.honeybook.com. It is distinct from sibling resource tools because it focuses on credential verification and upstream reachability rather than listing or modifying data.

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?

The description explicitly states when to use this tool: 'Call this when a real tool fails and you want to know which hop broke.' It provides clear context for its role as a diagnostic aid, though it does not spell out when-not-to-use it or name alternatives. Given no sibling tool serves the same purpose, this is a minor gap.

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

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/chrischall/honeybook-mcp'

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