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TokenBel Financial Data

search_by_name

Read-onlyIdempotent

Search companies AND securities issuers by name, full name, or UNP (Belarusian tax ID). Results are tagged with entity_type: "company" (use company_get_by_uuid) or "issuer" (use uuid as issuer_uuid in share_list/bond_list). The returned uuid/issuer_uuid values are opaque TokenBel internal ids (usually 8 hex chars, not RFC UUIDs). Companies and issuers are different tables and may overlap; linked_company_uuid connects an issuer to a company when known.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (1-100, default 20)
queryYesCompany/issuer name or UNP (Belarusian tax ID) search query; case-insensitive, e.g. 'bank' matches 'MTBank', 'Priorbank'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
queryYes
resultsYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description doesn't need to cover safety. The description adds value by explaining the opaque ID format (8 hex chars, not RFC UUIDs), entity type tags, and the relationship between companies and issuers, which are beyond the annotations.

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 concise, consisting of two information-dense sentences. Every sentence adds value: the first covers purpose and entity types, the second covers ID format and entity relationships. No wasted text.

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

Completeness5/5

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

Given the tool's complexity (searching two entity types, mapping to different subsequent tools), the description covers all necessary context: how to interpret results, ID format, relationships, and linked_company_uuid. With an output schema present, return values need not be detailed.

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 100%, so baseline is 3. The description adds extra context: query can be a name or UNP, case-insensitive, with an example. It reinforces the schema but doesn't add new parameter details beyond that.

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 specifies the verb 'search' and the resources 'companies AND securities issuers', distinguishing it from sibling tools like search_by_ticker. It also explains the output tags and entity type differentiation.

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?

The description provides explicit guidance on how to use results: for 'company' results use company_get_by_uuid, for 'issuer' results use uuid as issuer_uuid in share_list/bond_list. It also notes the difference between companies and issuers and the linked_company_uuid. Lacks explicit when-not-to-use compared to siblings, but still strong.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct entity or operation: bonds, shares, tokens, companies, issuers, currency rates, news, and searches. No two tools have overlapping purposes; even similar tools like bond_list and company_bonds_list are clearly differentiated by scope (global vs per-company).

Naming Consistency4/5

Tools mostly follow a pattern of entity_noun + verb (e.g., bond_list, share_get_by_uuid, company_bonds_list). Some exceptions like currency_rate_get and entity_news_list place the verb at the end, but the pattern is predictable and readable.

Tool Count5/5

With 19 tools covering bonds, shares, tokens, companies, issuers, currency rates, news, and trading statistics, the number is well-calibrated to the domain. Each tool serves a clear purpose without redundancy.

Completeness5/5

The tool surface provides comprehensive read access to the financial data domain: search, retrieval, listing with filters, trading statistics, and news. All expected query operations are present, and no obvious gaps are apparent for a data provider.

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