Skip to main content
Glama

estimate_cost

Calculate required APIAny credits for a model by specifying requests, input tokens, output tokens, and cached input tokens.

Instructions

Estimate APIAny credits for a model using public pricing metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes
requestsNo
input_tokensNo
output_tokensNo
cached_input_tokensNo
Behavior1/5

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

No annotations are provided, and the description gives minimal behavioral context. It mentions 'using public pricing metadata' but does not disclose whether the tool is read-only, requires authentication, has rate limits, or any side effects. The agent cannot assess safety or cost of invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, very concise. However, the ambiguous term 'APIAny' detracts from clarity. The verb 'Estimate' is front-loaded, but the sentence could be improved by clarifying the ambiguous term.

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

Completeness1/5

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

Given the tool has 5 parameters, no output schema, and no annotations, the description is grossly incomplete. It does not explain the output format, pricing assumptions, or how the estimate is calculated. An agent lacks essential context to use the tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning the description must compensate, but it adds no meaning beyond parameter names. Parameters like 'model', 'requests', 'input_tokens' are self-explanatory, but the description does not explain their role in estimation or any constraints not already in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Estimate' and the resource 'APIAny credits for a model', distinguishing it from sibling tools which are unrelated to cost estimation. However, the term 'APIAny' is ambiguous, possibly a typo for 'API' or 'API any', slightly reducing clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. Given the lack of context, the agent has no information to decide appropriateness.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ailingqu/ApiAny.AI-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server