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Ld List Projects

ld_list_projects
Read-onlyIdempotent

Return bounded LaunchDarkly projects with keys, names, tags, environments, and creation metadata. Answers which applications and deployment environments are managed in LaunchDarkly.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "limit": 20,
      "_apiKey": "your-launchdarkly-reader-token"
    },
    "name": "ld_list_projects"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum records, default 20 and maximum 100
queryNo
offsetNoRecords to skip for pagination
_apiKeyYesLaunchDarkly API access token

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, covering the safety profile. The word 'bounded' adds a hint that results are capped/paginated, but pagination mechanics and any auth/token limitations are left unstated.

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?

Two sentences, front-loaded with the verb and resource, with no filler. The second sentence is somewhat soft context but still earns its place by naming the domain question the tool answers.

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?

With no output schema, the description usefully enumerates the returned fields (keys, names, tags, environments, creation metadata), which is the key completeness need here. It is nearly sufficient, though it could say more about pagination when the result set is capped.

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 75% (query has no description), so the baseline is 3. The description hints at bounding via 'bounded' but adds nothing about limit/offset/query semantics beyond what the schema already documents.

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 opens with a specific verb and resource ('Return bounded LaunchDarkly projects') and then enumerates the returned fields, so an agent can distinguish this from ld_list_flags and ld_list_environments without opening any schema.

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

Usage Guidelines3/5

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

The second sentence ('Answers which applications and deployment environments are managed in LaunchDarkly') implies the intended use case, but there is no explicit when-to-use, when-not-to-use, or named alternative among the sibling ld_* tools. Usage has to be inferred.

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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