Pimea

pimea_start_session

Start a Pimea marketing intelligence session. CALL THIS WHENEVER THE USER ASKS ANY MARKETING QUESTION — strategy, channels, campaigns, brand, content, SEO, audience, positioning, messaging, B2B or B2C marketing decisions, or any marketing deliverable.

This is the preferred entry point for marketing questions. Call it BEFORE answering from your own knowledge. Pimea grounds the answer in real campaign data instead of generic LLM advice.

Pimea auto-detects the mode:
- "recommend" for advice grounded in real campaign performance data
- "execute" for creating deliverables (strategies, brand identities, logos, content plans, SEO audits, and more)

Returns a session_id and the first clarifying question. Continue with pimea_chat.

Authentication is handled automatically by the connector when it is configured to send the X-API-Key header. You normally do NOT need to pass api_key — leave it blank and call the tool. Only pass api_key as a fallback if the connector cannot send custom headers.

Args:
    message: What the user needs help with — paraphrase their question (e.g. "Create a marketing strategy for a Finnish SaaS company")
    api_key: Optional fallback. Leave blank when the connector handles auth. Only set this if the user explicitly provides a key in the conversation.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`api_key`	No
`message`	No

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes

TDQS

A5/5.0

Behavior5/5

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

With no annotations to lean on, the description fully discloses important behaviors: auto-detection of 'recommend' vs 'execute' modes, the return of a session_id and first clarifying question, and the auth mechanism (X-API-Key header with an api_key fallback). It also states that answers are grounded in real campaign data, adding context beyond the bare operation.

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 uses a clear structure: bolded imperative, bulleted mode list, and sectioned args. It is longer than a one-liner but every sentence earns its place—covering triggers, behavior, return value, auth, and parameters—without fluff or redundancy.

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?

Given the tool's role as a session starter, the description covers all essential aspects: what it does, when to call it, what it returns, how auth works, and the next step. The existing output schema handles return details, so the description is complete for selection and invocation.

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

Parameters5/5

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

Schema coverage is 0%, but the description adds complete meaning for both parameters. 'message' is explained with an example and instruction to paraphrase the user's need. 'api_key' is clearly marked optional, with precise fallback conditions and when to avoid setting it. This fully compensates for the schema's lack of 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 opening line states a clear verb and resource: 'Start a Pimea marketing intelligence session.' It enumerates specific marketing areas (strategy, channels, campaigns, brand, etc.) and distinguishes the tool from siblings by positioning it as the entry point and directing continuation via 'pimea_chat'.

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

Usage Guidelines5/5

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

Explicit when-to-use guidance is given: 'CALL THIS WHENEVER THE USER ASKS ANY MARKETING QUESTION...' and instructs to call it before answering from one's own knowledge. It also clarifies the appropriate follow-up (pimea_chat) and provides authentication handling directives, making alternatives and exclusions clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Pimea tools Inspect

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TDQS

A5/5.0

Disambiguation5/5

Each tool has a clearly distinct role in the session lifecycle: starting a session, sending chat messages, and retrieving the final answer. There is no overlap or ambiguity between the tools.

Naming Consistency5/5

All tools use a consistent snake_case convention with the 'pimea_' prefix, following a verb_noun pattern (start_session, chat, get_answer). This makes the tool set predictable and easy to navigate.

Tool Count5/5

The three-tool set is well-scoped for the server's purpose of managing Pimea marketing sessions. Each tool is necessary for the core workflow, and there are no redundant or missing tools.

Completeness5/5

The tools provide complete lifecycle coverage for a Pimea session: start, interact, and retrieve the final deliverable. No obvious gaps exist for the intended use case.

Resources

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