mercado_search_ticker
Resolve o código (ticker) de um ativo a partir de um trecho do nome/código. Discovery rápido.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Resolve o código (ticker) de um ativo a partir de um trecho do nome/código. Discovery rápido.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds little behavioral detail beyond 'Discovery rápido' and the input semantics; no return format or edge cases are described, so with annotations present this is acceptable.
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?
The description is a single sentence with no repetitive or irrelevant content. It front-loads the action and resource.
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 simple one-parameter search tool with read-only annotations, the description specifies the input, the output (the ticker), and the purpose. It omits details like multiple results or no-match behavior, but these are likely evident from the tool's design and sibling context.
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 0%, so the description must carry the parameter meaning. The phrase 'a partir de um trecho do nome/código' explains that the single required 'query' is a partial name or code, which is adequate for a single-parameter search tool.
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 uses 'Resolve o código (ticker) de um ativo a partir de um trecho do nome/código' which clearly states the tool resolves an asset's ticker from a partial name/code. This distinguishes it from siblings like mercado_quote or mercado_list, as it's a discovery/search action.
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?
The description indicates usage for quick discovery when only a fragment of the name or code is known. It does not explicitly name alternatives or exclusions, but the purpose implicitly sets it apart from quoting or listing tools.
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.
Each tool has a clearly distinct purpose: authenticate and connect are separate (login vs status), the mercado_* tools each target a specific asset class or function (crypto, currency, listing, macro, quote, ticker search), and platform tools like marketplace, report_bug, show_version, and toolkit_info are unambiguous. There is no meaningful overlap that would cause an agent to select the wrong tool.
The naming is mixed: financial tools consistently use the 'mercado_' prefix, but platform tools use a variety of conventions—single words (authenticate, connect, marketplace), verb_noun with underscores (report_bug, show_version), and nouns (toolkit_info). While readable, this inconsistency is noticeable and not as uniform as a strong verb_noun pattern.
At 12 tools, the count is within a reasonable range, but roughly half of the tools are platform-management concerns (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) rather than financial data. This makes the set feel heavier and less focused than a pure market-data server, though it's not excessive.
The financial data tools cover a broad range: quotes, screening, crypto, exchange rates, macro indicators, and ticker discovery—sufficient for a Brazilian market data server. Some potential gaps like news or portfolio management are out of scope, and the platform tools add extra utility, leaving no critical missing operations for the core purpose.