validate_isinSecurities identifier checksum validation. $0.001 per call.
| Name | Required | Description | Default |
|---|---|---|---|
| isin | Yes | 12-character International Securities Identification Number (ISO 6166), e.g. US0378331005 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already fully declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered without description help. The description adds value with the $0.001 per-call cost disclosure and confirms the operation is deterministic checksum computation, but it does not mention output or error behavior — a minor gap given the annotation coverage.
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?
Two terse fragments with no filler — purpose is front-loaded and the cost disclosure earns its place. It is appropriately sized for a single-parameter validation tool, though the use of fragments instead of full sentences makes it feel slightly under-specified.
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?
The tool is simple (one fully documented parameter) and annotations are rich, so the description is mostly adequate. However, with no output schema and no mention of return behavior, an agent cannot tell whether validation returns a boolean, throws on malformed input, or reports errors differently — a meaningful gap for a validation tool with zero output documentation.
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 100%; the isin parameter is fully documented with format (12-character), standard (ISO 6166), and an example. With the high-coverage baseline of 3, the description is not required to repeat parameter details; the 'checksum' wording adds only marginal context about how the value is evaluated.
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 'Securities identifier checksum validation' conveys a specific action (checksum validation) and resource (securities identifier/ISIN), and the title adds the ISO 6166 standard. It is unambiguous, though it does not explicitly differentiate this tool from sibling validators like validate_bic, validate_iban, validate_lei, or validate_vat — the distinction relies on the tool name.
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?
No when-to-use guidance, prerequisites, or alternatives are provided. An agent must infer applicability from the sibling names and the schema's ISIN example rather than from the description, which states only what the tool does, not when to choose it over the other validate_* 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.
Most tools are cleanly separated by domain prefix (data_, security_, validate_, verify_) and describe distinct outputs. A couple of pairs like token_verdict vs verify_token or data_portfolio vs wallet_dossier could be confused until descriptions are read, but the descriptions resolve the ambiguity.
The majority of tools follow a predictable prefix_subject pattern, e.g. data_block, security_tls, validate_iban, verify_payment. A few outliers like html_to_markdown, text_diff, wallet_dossier, and token_verdict use different conventions, but the overall system remains readable.
20 tools is on the heavy side for the typical MCP server and sits in the 16–25 'feels heavy' zone. Most tools have a legitimate purpose, but the five validate_* identifier tools plus two generic utilities could feel like surface area bloat.
The server covers a broad and coherent read/validation domain: chain data, token safety, payments, security checks, and identifier validators. Minor gaps exist, such as lack of detailed historical transaction/activity data and no general network/domain security scan beyond email, TLS, and typosquat.