Skip to main content
Glama

search_companies

Find Brazilian listed companies by company name or sector. Filter by sector to narrow down results.

Instructions

Search for Brazilian listed companies by name or sector.

Use list_sectors first to see valid sector names.

Args: query: Search term for company name (e.g. "Petrobras", "banco") sector: Filter by sector (e.g. "Bancos", "Petróleo e Gás", "Energia Elétrica")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
sectorNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It implies a safe, read-only search but does not explicitly state idempotency, authentication requirements, rate limits, or any side effects. For a simple search tool, this is adequate but not thorough.

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?

Description is extremely concise with two sentences plus parameter list. No wasted words. Front-loaded with the core purpose. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity and the presence of an output schema (not shown), the description covers the essential use case. It specifies the domain (Brazilian listed companies) and the two filtering dimensions. Minor omissions like pagination or matching behavior are acceptable for a straightforward search.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It explains query as a search term with examples (e.g., 'Petrobras') and sector as a filter with concrete examples (e.g., 'Bancos'). This adds meaningful context beyond the raw schema.

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?

Clearly states it searches for Brazilian listed companies by name or sector. Provides examples. Could differentiate more from sibling tools like screen_stocks, but the verb+resource combination is specific.

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

Usage Guidelines4/5

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

Explicitly recommends using list_sectors first to obtain valid sector names, and gives example values for parameters. Does not explicitly mention when not to use this tool, but the context is clear.

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/viniciuslazzari/bolsai-mcp'

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