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sahiljani

Screener MCP Server

by sahiljani

get_sector_data

Retrieve companies and financial metrics by sector. Provide a sector slug and optionally set pagination.

Instructions

Get companies listed in a specific market sector with key financial metrics.

Args: sector: Sector slug (e.g., "pharmaceuticals-biotechnology", "it-software", "banks-private-sector") page: Page number (default 1) limit: Results per page (1-50, default 50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
limitNo
sectorYes

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 must disclose behavioral traits. It does not mention side effects, authentication needs, rate limits, or the nature of the 'key financial metrics'. The existence of an output schema partially mitigates this, but the description itself is minimally transparent.

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 extremely concise, with a single imperative sentence for purpose followed by a clean arg list. Every part adds value, and it is front-loaded with the main action.

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?

While an output schema exists, the description is vague about what 'key financial metrics' are returned. It adequately covers pagination parameters but lacks specifics on the financial data, making it minimally complete for a tool with moderate complexity.

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?

The input schema has zero property descriptions (0% coverage), but the description clearly documents all parameters: sector with example slugs, page with default, and limit with range. This fully compensates for the schema deficiency.

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 description clearly states the action 'Get companies listed in a specific market sector with key financial metrics', using a specific verb and resource. It distinguishes from siblings like list_sectors (which lists sectors) and get_company (which gets a single company).

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, such as searching for companies or getting a single company. Sibling tool names imply differentiation, but no explicit usage context is given.

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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