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osherai

AgencyAnalytics MCP Server

by osherai

create_competitor

Add a competitor URL to a campaign using the campaign ID to begin tracking its SEO performance.

Instructions

Add a competitor to a campaign.

Args: campaign_id: The campaign ID to add the competitor to url: The competitor website URL

Returns: JSON object with created competitor data

Examples: - create_competitor(campaign_id=123, url="https://competitor.com")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
campaign_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

There are no annotations, so the description must disclose behavioral traits. It states a return value and provides an example, but it does not mention potential side effects, error conditions, idempotency, or required permissions. For a mutating create operation, this is a significant transparency gap.

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?

The description is structured with a summary line, Args, Returns, and an Example, with no fluff. Every line adds value, and the summary is front-loaded. It is appropriately sized for a simple two-parameter tool.

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?

For a simple two-parameter create tool with an output schema, the description covers the purpose, parameters, return type, and usage example. It lacks usage guidance and behavioral caveats, but the low complexity keeps the gaps modest. The output schema exists, so the return format is sufficiently specified.

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

Parameters4/5

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

The input schema provides only types and titles with 0% description coverage. The description compensates by explicitly defining campaign_id as 'The campaign ID to add the competitor to' and url as 'The competitor website URL,' along with a concrete example. This adds meaningful semantics beyond the bare schema.

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 opens with 'Add a competitor to a campaign,' which clearly identifies the action (add) and the resource (competitor to a campaign), distinguishing it from sibling tools like create_backlink or create_tag. The specific verb and resource make the purpose unambiguous.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, no exclusions, and no context about prerequisites. It merely states the action and parameters, leaving usage decisions to the agent.

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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