Skip to main content
Glama

generate_brand_positioning_matrix

Craft brand positioning hooks, category creation framing, and target customer pain-point mapping to differentiate your product from the existing competitor category.

Instructions

Generates brand positioning hooks, category creation framing, and target customer pain-point mapping.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_nameYesProduct name
competitor_categoryYesExisting category or competitor status quo (e.g. 'Traditional Web Agencies', 'Slow AI Wrappers')
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 of behavioral disclosure. It only says 'generates,' implying a read-only output, but it does not specify whether the tool has side effects (e.g., storing memory), what happens on failure, or that it returns a structured output. This is a significant gap for a tool with no 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with zero filler. It front-loads the action verb 'Generates' and lists the key outputs in a clear, parallel structure. Every word earns its place.

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?

Given the simple 2-parameter schema and no output schema, the description should still clarify the return format or any special behavior. It doesn't; the tool name suggests a 'matrix' output but that is not confirmed. No mention of required background knowledge or failure conditions. An agent would need to guess or rely on other context to fully use this tool correctly.

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 100%, so both parameters are fully documented in the schema. The description adds no extra meaning about the parameters themselves; it only mentions outputs like 'pain-point mapping,' which is not tied to specific parameter semantics. The baseline for high schema coverage is 3, and the description doesn't elevate it.

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 states a specific action (generates) and a clear resource (brand positioning matrix components: hooks, category framing, pain-point mapping). It is not a tautology and clearly distinguishes itself from the many other generate_* tools in the sibling list, though it doesn't explicitly name an alternative.

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?

No guidance is provided on when to use this tool versus alternatives, nor any prerequisites or conditions. The context is solely implied by the tool's name and description; the agent must infer that it is for brand positioning work, but there is no explicit 'use this when...' statement.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Akash1070/Super-Agent-Skill'

If you have feedback or need assistance with the MCP directory API, please join our Discord server