Skip to main content
Glama

TokenBel Financial Data

company_tokens_list

Read-onlyIdempotent

List summary cards of a company's active tokens (emissions). Accepts a company OR issuer TokenBel id; resolves the company and returns its tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uuidYesTokenBel internal identifier: opaque hexadecimal string, usually 8 characters such as "78c7e502"; despite uuid field/tool names, it is not an RFC UUID and normally has no hyphens. Company or issuer id, usually discovered via search_by_name.
limitNoMax results per page (default 50).
cursor_uuidNoTokenBel internal identifier: opaque hexadecimal string, usually 8 characters such as "78c7e502"; despite uuid field/tool names, it is not an RFC UUID and normally has no hyphens. Opaque cursor id part from the next_cursor returned by a prior call; pass both cursor parts together.
cursor_created_atNoOpaque cursor datetime part (ISO 8601) from the next_cursor returned by a prior call; pass both cursor parts together.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
limitYes
tokensYes
issuer_nameYes
issuer_uuidYes
next_cursorYes
company_nameYes
company_uuidYesTokenBel internal identifier: opaque hexadecimal string, usually 8 characters such as "78c7e502"; despite uuid field names, it is not an RFC UUID and normally has no hyphens.
requested_uuidYesTokenBel internal identifier: opaque hexadecimal string, usually 8 characters such as "78c7e502"; despite uuid field names, it is not an RFC UUID and normally has no hyphens.
requested_entity_typeYes

TDQS

A4.4/5.0
Behavior4/5

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

Annotations show read-only and idempotent. Description adds 'resolves the company', consistent with annotations. No contradictions.

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?

Two sentences, front-loaded with purpose, no waste. Efficient and clear.

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?

With output schema present, description covers input and behavior (paginated, summary cards). Adequate for a list tool.

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 coverage 100%, so baseline 3. Description adds nuance that uuid can be company or issuer ID, slightly improving understanding.

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?

Clearly states action (list), resource (company's active tokens), and scope (active). Distinguishes from siblings like token_list (all tokens) and company_shares_list (shares).

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?

Indicates use for listing tokens of a specific company via company or issuer ID. Implicitly different from token_list but lacks explicit when-not-to-use or alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources