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campaignstack_submit_feedback

Submit a feedback report or bug report to the CampaignStack team. Mirrors the in-app feedback widget (feedback-widget.tsx) and writes to the same feedbackReports table and triggers the same email notification. Use category 'bug' for broken functionality, 'feature' for capability requests, 'question' for how-to questions, and 'other' for anything else. Returns the new feedback report ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
routeYesThe app route or context where the feedback originates (e.g. '/dashboard/campaigns' or 'mcp-agent')
messageYesThe feedback body text
categoryYesFeedback category: bug (something broken), feature (new capability request), question (how-to), other
workspaceIdNoWorkspace ID (required for user keys; workspace keys are bound)

Schema Changelog

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

  1. Changed1 schema field changed
    • changedInput schema / properties / workspaceId / description
      Previous value: -"Defaults to the API key's workspace"New value: +"Workspace ID (required for user keys; workspace keys are bound)"
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations only show readOnlyHint/idempotentHint/destructiveHint all false, which tells the agent little beyond 'not read-only, not idempotent, not destructive'. The description compensates by stating concrete side effects: it writes to feedbackReports, triggers the same email notification, and returns the new feedback report ID. This makes the write behavior and outcome transparent beyond what annotations convey.

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?

Three sentences with no filler: the first states the action and destination, the second adds behavioral fidelity, and the third gives category semantics and return value. The most important information is front-loaded and every sentence earns its place.

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

Completeness5/5

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

With no output schema, the description correctly includes the return value (new feedback report ID). It also states side effects and category options, covering the key operational details an agent needs. The optional workspaceId nuance is already documented in the input schema, so nothing essential is missing.

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%, so the schema already explains each parameter. The description adds a category-value mapping for bug/feature/question/other, which is helpful but largely redundant with the schema enum descriptions. It adds no information about route, message, or workspaceId beyond what the schema already provides, so baseline 3 is appropriate.

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 opening sentence names a specific action ('submit'), a clear object ('feedback report or bug report'), and a destination ('CampaignStack team'). The rest of the description clarifies expected behavior and return value, so an agent can tell what the tool accomplishes even among a large sibling list.

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?

The description gives explicit category selection rules for bug/feature/question/other, telling the agent exactly which value to choose for each scenario. It also notes the tool mirrors the in-app widget and writes to the same table/email flow, giving context for how it should be used. It doesn't exclude alternatives, but no sibling is a plausible substitute, so the guidance is sufficient.

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

A3.7/5.0
Disambiguation3/5

The set is enormous and generally well-differentiated through detailed cross-referenced descriptions, but several clusters blur together: archive/delete/remove have inconsistent permanence semantics (delete_campaign vs remove_signal_watch vs archive_campaign), create_connection_watch_agent explicitly overlaps with set_account_watcher, and the parallel draft-checkup and playbook-proposal flows (run_draft_checkup/get_draft_checkup/accept_draft_checkup vs propose_playbook_change/get_playbook_proposal/decide_playbook_proposal) present near-identical decision pipelines.

Naming Consistency4/5

Nearly every tool follows the campaignstack_<verb>_<noun> convention with disciplined get/list pairing and consistent verb choices (create/update/delete/pause/resume). Minor deviations like campaignstack_priority_enrich (adverb+verb) and campaignstack_whoami break the strict verb_noun pattern but are isolated and do not hinder navigation.

Tool Count1/5

223 tools is an extreme surface for any MCP server. Even though each tool maps to a distinct API operation and the underlying platform is broad, the scale far exceeds the 50+ threshold for an extreme mismatch and will overwhelm agents with selection overhead.

Completeness5/5

The surface is exhaustive for the LinkedIn outreach domain: full campaign/workflow/lead-list lifecycles, ICP and persona management, content scheduling and approvals, inbox and messaging, enrichment and integrations, signal watches and exclusions, review queues, playbook versioning, workspace admin, billing, and notifications. Minor gaps like a missing delete_lead or delete_company are explained by shared-data semantics, so no critical dead ends remain.

Resources