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aidelly_update_workspace

PATCH /workspaces/{workspaceId} — update workspace name, archive state, kind, or mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoOptional body override for endpoints with sparse parameter schemas.
kindNo
nameNo
queryNoOptional query overrides for endpoints with sparse parameter schemas.
archivedNo
brand_idNo
workspaceIdYes
workspace_idNoWorkspace to operate in. Do not ask the user for this UUID — call aidelly_list_workspaces and use the `id` of the matching workspace. Optional for read operations; required when creating content.
workspace_typeNo
idempotency_keyYes

Schema Changelog

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

  1. Changed1 schema field changed
    • addedInput schema / properties / workspace_id / description
      Added value: +"Workspace to operate in. Do not ask the user for this UUID — call aidelly_list_workspaces and use the `id` of the matching workspace. Optional for read operations; required when creating content."
  2. First observed

TDQS

C2.8/5.0
Behavior3/5

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

The description lists the fields that can be updated, which gives some behavioral insight. Annotations already indicate the tool is not read-only and not destructive, so the description adds marginal value by specifying what changes occur. However, it does not disclose potential side effects, required permissions, or whether the update is idempotent (though annotations indicate it is not). This is adequate but not thorough.

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 a single sentence, which is concise but lacks structure. It includes helpful information (HTTP method, path, updatable fields) but could benefit from bullet points or clearer separation of details. While not verbose, it does not fully utilize the space to convey necessary information.

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 complexity (10 parameters, 2 required, no output schema, low coverage) and limited annotations, the description is insufficient. It does not explain the return value, prerequisites (e.g., workspaceId from list), or the context in which this update is appropriate. The agent has to rely on the schema descriptions, which are also sparse. This is a minimal but incomplete effort.

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

Parameters2/5

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

With schema description coverage at only 30%, the description should compensate by explaining key parameters. The description mentions only four updatable fields (name, archive state, kind, mode), but the schema has ten parameters, including required ones like idempotency_key and workspaceId. No explanation is given for these, leaving the agent uninformed about how to use them correctly.

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 specifies the HTTP method and resource path, and lists the updatable fields (name, archive state, kind, mode). This clearly indicates the tool's purpose and distinguishes it from sibling tools like create or delete workspace. However, it does not mention all possible updatable fields from the schema (e.g., brand_id, workspace_type), which slightly reduces completeness.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as obtaining the workspaceId via aidelly_list_workspaces, nor does it exclude scenarios where other tools (e.g., create_workspace, delete_workspace) are more appropriate. The instruction for workspace_id in the schema indicates a required step, but this is not in the description.

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

C2.2/5.0
Disambiguation2/5

Many tools have overlapping purposes, especially in approvals and post updates. For example, aidelly_action_post_approval and aidelly_post_approvals_id_action both handle approval actions, while aidelly_get_approvals and aidelly_list_pending_approvals appear to serve similar listing functions. The proliferation of HTTP-route-style names with generic prefixes (get_approvals_id, patch_posts_id) further obscures distinctions.

Naming Consistency1/5

The tool set mixes clean verb_noun names (create_post, list_posts) with HTTP-method-plus-path names (get_approvals_id, patch_posts_id, post_analytics_insights). There is no consistent pattern, and 'post' as a verb collides with the content post noun, creating confusion. The inconsistent conventions make it hard to predict tool names.

Tool Count1/5

With 124 tools, this server vastly exceeds the typical MCP server scope and the calibration threshold (50+ is extreme). Even for a comprehensive platform API, such a large surface overwhelms agents and makes selection impractical. The count is a severe mismatch for a usable MCP tool set.

Completeness4/5

The tool surface is remarkably comprehensive, covering CRUD for posts, drafts, scheduled posts, tasks, reports, webhooks, workspaces, e-commerce stores, and many more. Advanced features like approvals, repurpose jobs, and content automations are also represented. Minor gaps exist (e.g., no explicit delete for regular posts, only cancel), but the domain is well covered overall.