model_price_history
Every recorded price for a model, with the date each was read. Requires a key; see https://sighttrue.com/pricing.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| model | Yes |
Every recorded price for a model, with the date each was read. Requires a key; see https://sighttrue.com/pricing.
| Name | Required | Description | Default |
|---|---|---|---|
| model | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that it returns all recorded prices with dates and that authentication is required. However, it does not cover error behavior, pagination, or the exact return structure, which is a gap because no annotations are provided.
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 that is front-loaded with the core purpose and includes no filler. Every word contributes to the meaning.
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 tool, the description covers the basic function and authentication requirement. However, with no output schema, it omits details about the return format, ordering, or edge cases, leaving some gaps in completeness.
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?
The single parameter 'model' is not explained beyond the purpose statement. The description doesn't specify whether it expects an ID, name, or other identifier, and with 0% schema coverage it fails to compensate for this ambiguity.
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 clearly states that the tool returns every recorded price for a model along with the date each was read. This makes its purpose distinct from sibling tools that track other attributes like weight. It lacks an explicit verb but is specific about the resource and the entity.
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 only mentions a prerequisite (requires a key) and provides a reference link. It gives no guidance on when to use this tool instead of alternatives, nor does it mention any exclusions or preferred contexts.
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.
Multiple tools overlap significantly: check_package, check_before_install, check_stack, and audit_manifest all inspect dependencies, while check_provider and provider_incidents both return incident data. Descriptions help somewhat, but the boundaries between these tools are unclear and could easily cause misselection.
Tool names follow no consistent pattern: some start with verbs (check_*, list_*, search_*), others are noun phrases (advisory_severity, domain_risk, provider_incidents), and one is a clause (who_can_publish). The mixed conventions reduce predictability and make it harder to infer tool behavior from the name.
With 31 tools, this is well above the 25-tool threshold for a single server, making the surface feel heavy and difficult to navigate. Even given the broad domain (packages, providers, models, registries), many tools could be consolidated or grouped more tightly.
The server provides extensive read coverage for packages, providers, models, and registries, but there are notable gaps such as no watchlist removal or model comparison, and some tools appear redundant rather than completing a lifecycle. Overall, it is broadly useful but not fully complete for its stated purpose.