run_five_forces
Run Porter's Five Forces on an industry or market.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | Your problem, decision, project, or question to analyze with this framework. |
Run Porter's Five Forces on an industry or market.
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | Your problem, decision, project, or question to analyze with this framework. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It conveys only that this is a one-shot analysis run; it says nothing about the shape, depth, or format of the analysis returned, whether the output is deterministic, or any cost/latency characteristics. There is no contradiction, but essentially no behavioral context either.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single short sentence with the framework name and scope front-loaded; nothing is wasted or padded. It is terse to the point of under-specification, but that is a completeness issue rather than a conciseness defect.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations and no output schema, the description is the only place an agent could learn what a Five Forces run yields, and it says nothing about the return. Combined with no differentiation from a large sibling family, the definition is thin for an analysis tool whose output format matters for downstream use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and the single 'input' parameter is fully documented in the schema, so the baseline is 3. The description adds a mild narrowing ('an industry or market') that the schema notably widens to 'problem, decision, project, or question', giving slightly more scoping information than the schema alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('Run') and a specific named framework ('Porter's Five Forces'), scoped to 'an industry or market'. That is enough for an agent to know what the tool does without reading the schema. It lacks explicit differentiation from siblings such as run_competitive_landscape or run_swot, which apply adjacent strategy frameworks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no statement of when to pick this tool, when not to, or which sibling to use for an adjacent analysis. The only hint is the implicit scoping to 'an industry or market'. With 18 near-identical 'run_<framework>' siblings, the absence of routing guidance is a real gap.
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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