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Glama

suggestEndpointPrice

FREE endpoint. If a paid endpoint's pricing is too high, suggest a target price based on alternative sources, budget limitations, or query frequency. Feedback is used to optimize pricing decisions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNoWhy this price fits (e.g., competing API rates, low density calls)
agent_walletNoOptional EVM wallet address
endpoint_pathYesThe path of the endpoint (e.g. /blockchain/simulate)
suggested_price_usdYesThe price in USD you'd pay per call

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It states 'FREE endpoint' and that 'Feedback is used to optimize pricing decisions,' but does not clarify if the tool is read-only, whether it stores data, or any side effects. The mutation behavior is unclear.

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

Conciseness4/5

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

The description is short (two sentences) and front-loaded with key information. However, the phrase 'FREE endpoint' at the start is slightly off-topic and could be integrated or removed for better clarity.

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

Completeness3/5

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

The description covers the tool's purpose and a usage condition, but given the absence of an output schema and annotations, more context would be helpful, such as what the tool returns or whether it is a one-time suggestion.

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

Parameters3/5

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

Schema documentation covers all 4 parameters with descriptions, achieving 100% coverage. The tool description does not add further meaning to the parameters beyond the schema, so a baseline score of 3 is appropriate.

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 tool's purpose: to suggest a target price for a paid endpoint when current pricing is too high. The verb 'suggest' and resource 'endpoint price' are explicit, and the tool is distinct from sibling tools which are mostly informational or security-related.

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

Usage Guidelines3/5

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

The description provides a condition for use ('If a paid endpoint's pricing is too high') but does not mention alternatives or when not to use. Among siblings, no other tool handles pricing suggestions, so usage guidance is implied but not explicit.

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

B3/5.0
Disambiguation2/5

Many tools have overlapping functionality, e.g., auditNetworkHost combines DNS, SSL, and header checks that have dedicated tools (auditDnsSecurity, checkSslExpiry, auditSecurityHeaders). Multiple weather and blockchain tools also overlap in scope, making it difficult for an agent to choose the right tool.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (e.g., getAirQuality, checkDnsPropagation), but a few deviate (agentPreflight, capabilitiesDiff) and some use compound names (depositCoordinationBounty). Overall, the pattern is clear but not perfectly uniform.

Tool Count1/5

With 56 tools, the server is far too large for a coherent MCP surface. The number suggests a collection of many unrelated APIs rather than a focused tool set. A typical well-scoped server has 3-15 tools.

Completeness2/5

While the tool set covers many domains, each domain has shallow coverage. For example, blockchain tools miss basic transaction sending and contract deployment; weather tools lack forecasts. The 'requestMissingData' endpoint acknowledges gaps, but the current surface is severely incomplete for a general-purpose API.

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