analyze_thesis_exposure
Rozkład portfela na ogniwa łańcucha wartości AI - gdzie masz ekspozycję, a gdzie dziurę.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Rozkład portfela na ogniwa łańcucha wartości AI - gdzie masz ekspozycję, a gdzie dziurę.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already establishes this is a safe read operation, and the description does not contradict it. The description adds the analysis scope (AI value chain exposure) but discloses no behavioral details such as data dependencies, whether a portfolio must exist first, or what 'dziura' (gap) means operationally. Given the annotation carries the safety burden, a 3 is appropriate.
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 dense sentence with zero filler. The core promise is front-loaded ('rozkład portfela') with the value proposition in the second clause. Every word earns its place.
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?
For a zero-parameter read-only tool, the description conveys the core purpose adequately and hints at the deliverable (exposure and gap locations). However, with no output schema, it does not describe the result format or how the breakdown is presented, which is a minor gap given the tool's simplicity.
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?
The tool has zero parameters, so the input schema is vacuously complete and there is nothing for the description to add about parameter meaning. Per the baseline for parameterless tools, a 4 is appropriate.
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 states a specific deliverable: a portfolio breakdown across AI value chain links, identifying exposure and gaps. This differentiates it from generic portfolio tools like get_portfolio_analytics or get_concentration_risk. It lacks an explicit imperative verb, but the analytic intent is unambiguous.
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?
No guidance is provided on when to use this tool versus alternatives, and the term 'thesis' in the name is never explained. There is no mention of prerequisites, complementary tools, or conditions that would make another sibling more appropriate. An agent must infer usage entirely from the name and description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.