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speed

Latest daily speed run, measured by the index: per model and route (openrouter default routing, openrouter_pinned to the first-party host, anthropic and openai direct), median time to first token (ms), visible output tokens per second, host that served it. Same prompt every day.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden, and it does a solid job for a zero-parameter read: it defines the metric units, the routing configurations, the host attribution, and the fixed daily prompt that makes values comparable across days. It does not say how often the snapshot updates or whether the underlying data is cached, but for a no-arg read there is little actionable risk left undisclosed.

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?

One front-loaded sentence opens with the core scope ('Latest daily speed run'), then qualifies it with the route enumeration and metric definitions. The route parenthetical is dense but each clause supplies real information; nothing is redundant.

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?

No output schema exists, so the description must convey the return shape, and it does: one row per model and route with TTFT, throughput, and host. The only gap is the overall shape and size of the response (how many models or routes are covered, whether it is a list or a map), which an agent can only guess.

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?

The tool takes zero parameters, so the baseline is 4. The description adds no parameter semantics because none exist, and none are needed.

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?

States a specific resource: the latest daily speed-benchmark run, with the measured metrics named explicitly (median time to first token, visible output tokens/sec, serving host) and the route breakdown enumerated. It is clearly distinguishable in content from siblings like cost_per_task or model_price, though it never names or contrasts those siblings, and it lacks an explicit verb such as 'returns'.

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?

There is no guidance on when to call this versus index_latest, index_series, or the other benchmark tools, and no mention of prerequisites or frequency of refresh beyond 'daily'. Usage is only inferable from the data being described, not stated.

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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