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honeycomb-mcp-server

honeycomb-mcp-server

by kajirita2002
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

honeycomb_slos_list

Retrieve all SLOs (Service Level Objectives) for a specific dataset or across all datasets using the MCP server.

Instructions

List all SLOs for a dataset

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": {
      "datasetSlug": "<datasetSlug>"
    },
    "name": "honeycomb_slos_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
datasetSlugYesDataset slug to list SLOs for, or 'all' for all datasets

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?

With no annotations provided, the description carries full burden but only states the basic action without behavioral details. It doesn't disclose whether this is a read-only operation, if it requires authentication, potential rate limits, or what the output format might be (e.g., list structure, pagination). This leaves significant gaps for agent understanding.

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 directly states the tool's purpose without unnecessary words. It is front-loaded and appropriately sized for a simple list operation, with no wasted content.

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 the lack of annotations and output schema, the description is incomplete. It doesn't explain behavioral aspects like safety (read-only vs. destructive), authentication needs, or return values, which are crucial for a tool in a complex system like Honeycomb with many sibling operations.

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 the parameter 'datasetSlug' clearly documented in the schema as 'Dataset slug to list SLOs for, or 'all' for all datasets'. The description adds no additional parameter information beyond this, so it meets the baseline for high schema coverage without compensation.

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 action ('List') and resource ('SLOs for a dataset'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'honeycomb_slo_get' (which retrieves a specific SLO) or 'honeycomb_slo_update' (which modifies SLOs), missing explicit distinction.

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 guidance is provided on when to use this tool versus alternatives. For example, it doesn't mention using 'honeycomb_slo_get' for retrieving a single SLO or 'honeycomb_slo_update' for modifications, leaving the agent without context for tool selection among siblings.

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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