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by sitebay

sitebay_posthog_proxy

Forward HTTP requests to PostHog analytics API for tracking WordPress site data within SiteBay MCP Server.

Instructions

Proxy POST requests to PostHog analytics API.

Args: path: PostHog API path query_params_json: Optional JSON string for payload or query params method: HTTP method (get, post, put, delete)

Returns: PostHog API response

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
query_params_jsonNo
methodNoget

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Proxy POST requests' and returns 'PostHog API response,' but lacks details on authentication needs, rate limits, error handling, or side effects. For a proxy tool with zero annotation coverage, this leaves significant gaps in understanding its operational behavior.

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 appropriately sized and front-loaded with the purpose in the first sentence. The 'Args' and 'Returns' sections are structured clearly, with no redundant information. However, the mention of 'POST requests' in the purpose might be slightly misleading given the 'method' parameter supports multiple HTTP methods, indicating a minor inefficiency.

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

Completeness3/5

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

Given the tool's complexity (a proxy with 3 parameters), no annotations, and an output schema exists (implied by 'Returns'), the description is moderately complete. It covers basic purpose and parameters but lacks behavioral context and usage guidelines. The output schema reduces the need to explain return values, but overall completeness is adequate with clear gaps.

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 0%, so the description must compensate. It lists parameters in the 'Args' section with brief explanations (e.g., 'PostHog API path'), adding some meaning beyond the schema. However, it doesn't fully detail parameter formats, constraints, or examples, leaving gaps for the 3 parameters, especially 'query_params_json' and 'method' with its default value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Proxy POST requests to PostHog analytics API.' It specifies the verb ('proxy'), resource ('PostHog analytics API'), and method ('POST requests'), which is specific and actionable. However, it doesn't differentiate from its sibling 'sitebay_shopify_proxy' or 'sitebay_wordpress_proxy', which are also proxy tools, so it lacks sibling differentiation.

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. It doesn't mention any specific scenarios, prerequisites, or exclusions, nor does it reference sibling tools like other proxies or analytics-related tools. Usage is implied only by the purpose statement, with no explicit context for selection.

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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