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aidelly_update_task

Update task fields (title, description, status, priority, assignee, due date, or links).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
bodyNoOptional body override for endpoints with sparse parameter schemas.
queryNoOptional query overrides for endpoints with sparse parameter schemas.
titleNoTask title.
due_atNoISO 8601 due date/time.
statusNoTask status.
brand_idNo
priorityNoTask priority.
descriptionNoTask description.
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.
linked_idea_idNoUUID of linked idea (mutually exclusive with linked_post_id).
linked_post_idNoUUID of linked post (mutually exclusive with linked_idea_id).
idempotency_keyYes
assignee_user_idNoUUID of assignee (must be an active workspace member).

Schema Changelog

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

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=false (mutation) and destructiveHint=false. Description adds the verb 'update' but doesn't detail side effects (e.g., partial vs full replacement), auth requirements, or behavior of the idempotency_key. Minimal value beyond annotations.

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?

Single sentence, front-loaded with verb and resource. Efficient. Could include a bit more context (e.g., 'partial update') without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, but description doesn't mention return value (likely updated task). With 14 parameters and complexity (idempotency_key, nested overrides), the description could be more complete about behavior. However, it covers the most common fields.

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 79%, so most parameters are already documented. The description lists fields (title, description, etc.) but adds no extra semantics beyond the schema (e.g., doesn't explain that 'due date' corresponds to due_at with ISO 8601 format). Does not clarify body/query overrides.

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 verb 'Update' and the resource 'task fields', listing specific fields. It distinguishes from sibling tools like aidelly_create_task (create) and aidelly_get_task (read) by focusing on mutation, but doesn't explicitly mention it's a partial update or that only listed fields can be modified.

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?

No explicit guidance on when to use this tool vs. alternatives like update_scheduled_post or create_task. The purpose is implied but not spelled out; the agent must infer from the list of updatable fields that this is for existing tasks only.

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.