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list_projects

Read-onlyIdempotent

List all projects under the platform customer. Returns project id, slug, name, multiTenant/publicSignup flags, provisionStatus, and _createdAt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax projects to return (default 50)
offsetNoPagination offset (default 0)
searchNoFilter by project name or slug (case-insensitive substring match, applied client-side)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / search / description
      Previous value: -"Filter by project name"New value: +"Filter by project name or slug (case-insensitive substring match, applied client-side)"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered elsewhere. With no output schema, the description's enumeration of returned fields (id, slug, name, flags, provisionStatus, _createdAt) is genuine added value, though it says nothing about pagination totals or ordering.

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 short sentences, zero filler, with the purpose front-loaded before the return-value list. The second sentence is a dense enumeration rather than prose, which is efficient for this kind of tool.

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 zero-required-parameter list tool with full schema coverage and read-only annotations, the description covers purpose and return shape, which is what's missing without an output schema. It omits pagination/ordering behavior and total-count semantics, minor gaps for a listing endpoint.

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%, including the notable 'applied client-side' caveat on search, so the description needn't restate parameters. It adds no syntax or interaction detail (e.g., whether search combines with limit/offset), so the baseline 3 is appropriate.

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?

States a specific verb and resource (list projects) and adds scope ('under the platform customer'), so an agent knows exactly what enumeration this is. It does not explicitly differentiate from nearby siblings such as describe_project or list_endpoints, but the resource noun makes the distinction self-evident.

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 when-to-use, when-not-to-use, or alternative is named. The agent gets no signal about preferring list_projects over describe_project for a single project, or how the client-side search relates to other lookup tools.

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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