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campaignstack_get_platform_capabilities

Read-onlyIdempotent

Lists every platform action (like_post, comment_on_post, follow_profile, send_message, send_connection_request, send_inmail, extract_post_engagements) with the platforms it supports and, per platform, the accepted target fields and optional params. Also returns which platforms this workspace has connected accounts for. Call this when an action tool returns wrong_target_for_platform or unsupported_capability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceIdNo

Schema Changelog

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

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark the call as readOnly, idempotent, and non-destructive; the description adds meaningful behavioral detail by specifying what the response contains: supported platforms, accepted target fields, optional params, and connected accounts. It doesn't contradict the annotations and goes beyond simply saying it's a read-only operation.

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

Conciseness5/5

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

Two tightly written sentences with no filler. The main purpose is front-loaded, the action examples are useful, and the invocation trigger is placed at the end for clarity. Every sentence earns its place.

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 takes responsibility for explaining return content, and it does so well: actions, platforms, target fields, optional params, and connected accounts. It also gives a clear usage trigger. The main gap is workspaceId handling, but for a simple one-parameter introspection tool this is nearly complete.

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?

The input schema has one optional workspaceId with no description, and the description never explains how workspaceId is used or what happens when it is omitted. The phrase 'this workspace' hints at the parameter but doesn't clarify its semantics, which matters because the schema description coverage is 0%.

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 clearly states the tool lists platform actions (with concrete examples), the platforms each supports, per-platform target fields and optional params, and connected accounts. This is a specific verb+resource description that distinguishes it from the many sibling tools as a capabilities/introspection endpoint.

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

Usage Guidelines5/5

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

It gives an explicit, actionable trigger: 'Call this when an action tool returns wrong_target_for_platform or unsupported_capability.' This tells the agent exactly when to use this tool and for what purpose, leaving little to inference.

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
Disambiguation3/5

Many tools share the same verb prefix (create_, list_, update_, get_) across closely related resources, so pairs like add_lead_to_external_list vs add_lead_to_sequence, create_signal_agent vs create_signal_watch, and approve_review vs approve_content_post can be confused. The descriptions are unusually detailed and cross-referenced, which mitigates but does not eliminate the ambiguity inherent in a 282-tool surface.

Naming Consistency4/5

Virtually every tool follows the campaignstack_verb_noun snake_case pattern, which is highly predictable. Minor deviations exist: destructive operations mix remove_ and delete_ (remove_lead_list vs delete_campaign), AI generation uses both craft_ and generate_, and the seo_/search_console_ subdomains introduce a second prefix convention.

Tool Count1/5

282 tools is an extreme mismatch by any reasonable standard, exceeding the 50+ threshold by more than 5x. Even for a full B2B outreach platform, this surface is far too large and would be better consolidated into higher-level operations or grouped sub-servers.

Completeness4/5

The tool surface is impressively comprehensive, covering campaigns, workflows, leads, content, ads, SEO, integrations, billing, and more with CRUD-level depth. Minor gaps remain: no single-ICP getter, no direct pause/delete for search watches, and no explicit delete for ad campaigns (only archive via update).

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