campaignstack_reject_review
Reject a pending review entry. The lead follows the 'rejected' edge in the workflow.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| entryId | Yes | ||
| workspaceId | Yes |
Reject a pending review entry. The lead follows the 'rejected' edge in the workflow.
| Name | Required | Description | Default |
|---|---|---|---|
| entryId | Yes | ||
| workspaceId | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds meaningful behavioral context beyond the annotations by stating that the lead follows the 'rejected' edge in the workflow and that the entry must be pending. This goes beyond the mere mutation signal from readOnlyHint=false. It does not discuss reversibility or error behavior for non-pending entries, but the added workflow context is valuable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is only two sentences, with the core action front-loaded and no filler. Every sentence adds either what the tool does or what the workflow effect is. It is appropriately sized for the tool's simplicity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter mutation with annotations and no output schema, the description covers the target resource, the precondition (pending), and the workflow outcome. It does not describe return values or behavior when the entry is not pending, but the tool is simple enough that this is a minor gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must help interpret the parameters. The phrase 'review entry' clarifies that entryId refers to the review entry being rejected, but workspaceId is not explained and no explicit parameter mapping is given. The simple, standard parameter names keep this adequate rather than deficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Reject') and resource ('pending review entry'), so an agent immediately knows what the tool does. The second sentence clarifies the domain by explaining the workflow consequence. It is clearly distinct from sibling reject/approve tools by focusing on review entries in a pending state.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use it: when a pending review entry should be rejected. However, it gives no explicit comparison to related tools such as approve_review, edit_and_approve_review, or retry_review, and no when-not-to-use guidance. The workflow-edge sentence explains the effect but not tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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).