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List projects

list_projects
Read-onlyIdempotent

List the projects of a company. Requires the company_id path parameter. Archived projects are excluded unless include_archived=true. Supports search and filtering by id, title and description. Each project carries app_url, pointing at its dashboard. Other views share the same /{company}/{project}/ base: tasks/list, board, backlog, matrix, tasks/timeline, sprints, attachments, scoring. The timeline (Gantt) is plan-gated — users without it land on the billing page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already mark this as a safe read-only, idempotent operation. The description adds meaningful behavioral detail beyond that: archived projects are excluded unless include_archived=true, the timeline is plan-gated, and each project includes an app_url. No contradiction with annotations exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with purpose and key parameters, but the final three sentences about app_url, shared view URLs, and plan-gated timeline add contextual detail that is not directly necessary for invoking the tool. It is compact but contains some tangential information.

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 read-only list tool with no output schema, the description covers the required company_id, filtering flags, pagination hints through schema, and even return-value context (app_url). It is missing a full statement of what the response object contains, but the rest of the context is sufficient for correct invocation.

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?

Schema description coverage is 0%, so the description must compensate. It explains company_id, include_archived, and filtering by id/title/description, which clarifies the tersely named icontains fields. It does not explain page/page_size semantics, but those already have schema descriptions, and 'search' is mentioned without a matching schema property.

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: 'List the projects of a company.' It clearly distinguishes this listing tool from siblings like retrieve_projects by describing collection-level behavior, filtering, and archived-project exclusion.

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 provides clear context for when to call the tool: listing a company's projects, requiring company_id, excluding archived by default, and supporting filters. It does not explicitly state when to prefer a sibling such as retrieve_projects, so it falls just short of full alternative guidance.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools are clearly scoped to a specific resource and action, but a few near-overlapping pairs (e.g., list_attachments vs list_taskattachments, create_tasktags vs add_tag_tasks) could cause misselection without close reading. Descriptions are detailed enough to resolve most ambiguity.

Naming Consistency4/5

The dominant verb_noun CRUD pattern (create_, list_, retrieve_, update_, partial_update_, destroy_) is consistent and predictable. However, non-standard pluralizations (companys, resumeentrys, taskdependencys) and a handful of irregular names (task_assign_user, move_relate_to_tasks) introduce minor inconsistencies.

Tool Count1/5

With 83 tools, this server is far beyond a well-scoped MCP surface, even for a feature-complete project management suite. The sheer volume will overwhelm agents and make selection inefficient, clearly falling into the extreme-mismatch range.

Completeness5/5

The toolset provides thorough lifecycle coverage across companies, projects, tasks, sprints, attachments, comments, dependencies, tags, reminders, resume entries, tickets, and users. Missing operations like company deletion or task-attachment creation appear intentional and are worked around via existing tools.

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