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Glama

intentweave-mcp

run_campaign

Create a campaign and return campaign_id + first telemetry snapshot.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
intentYes
optionsNo
verticalNoyc_devtools
access_tokenNo
tenant_api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden. It does disclose the mutation side effect ('Create') and the return value, but it omits any information about authentication requirements, side effects beyond creation, rate limits, or whether the operation is reversible. This is insufficient for a mutation tool with zero annotation coverage.

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?

The description is a single, front-loaded sentence with no redundant wording. Every word contributes to stating the core purpose. However, it is arguably too brief given the tool's complexity, though this is more a completeness concern than a conciseness one.

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?

The tool has 6 parameters, no schema descriptions, and no annotations. The description only covers the main action and return value, leaving parameter semantics, usage context, and operational details entirely unexplained. The presence of an output schema helps for return values but does not address the missing input guidance.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no explanation for any of the 6 parameters (intent, count, options, vertical, access_token, tenant_api_key). The description only mentions return values, not what each input does, so it completely fails to compensate for the lack of schema descriptions.

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 uses a specific verb ('Create') with a clear resource ('a campaign') and explicitly states the return value ('campaign_id + first telemetry snapshot'). This clearly distinguishes it from sibling tools like get_campaign, which is a read operation.

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?

The description implies the tool is for creating campaigns, but it does not provide explicit guidance on when to use it versus alternatives, nor does it mention exclusions or prerequisites. There is no reference to sibling tools or when another tool would be more appropriate.

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

B3.4/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: cost estimation, bulk lead export, campaign status, single lead retrieval, vertical listing, campaign creation, and feedback submission. No two tools have overlapping purposes; even get_campaign and get_lead are clearly separated by campaign vs. lead granularity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (estimate_cost, export_leads, get_campaign, get_lead, list_verticals, run_campaign, submit_feedback). This is a uniform and predictable naming convention.

Tool Count5/5

The server has 7 tools, which is well within the ideal 3–15 range. Each tool serves a clear function in the campaign lifecycle without redundancy, making the count appropriate for the domain.

Completeness3/5

The server covers campaign creation (run_campaign), reading campaign status (get_campaign), lead access (get_lead, export_leads), cost estimation, and feedback. However, it lacks list_campaigns, update_campaign, and delete_campaign, which are notable gaps for managing multiple campaigns. The core workflow is usable but not a full CRUD surface.

Resources