Skip to main content
Glama

seed_system_dynamics_optimize

Calculates optimal adjustment time (AT) empirically matched to damping ratio or evaluates supply-line control.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_delayNo
target_damping_ratioNo
current_adjustment_timeNo

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not state whether the tool is read-only or mutating, whether it requires a configured model to exist first, what 'empirically matched' means operationally, or what the caller receives back. The only behavioral hint is that a computation occurs.

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?

A single sentence is efficient, but the 'or' clause splits the purpose rather than front-loading one clear action, and jargon like 'empirically matched' is used without definition. It is short but not maximally informative per word.

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

Completeness2/5

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

With no annotations, no output schema, three wholly undocumented parameters, and only one sentence of prose, the definition is insufficient for a tool that appears to run a nontrivial control-theory computation. An agent lacks the information needed to invoke it confidently.

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

Parameters2/5

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

Schema description coverage is 0% and all three parameters have empty descriptions. The prose mentions 'adjustment time (AT)' and 'damping ratio,' loosely mapping to current_adjustment_time and target_damping_ratio, but pipeline_delay is never mentioned and no parameter is tied to a name, units, or valid range.

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

Purpose3/5

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

The description names a verb (calculates) and a resource (optimal adjustment time), and 'optimize' in the tool name aligns. But the trailing 'or evaluates supply-line control' introduces a second, unexplained capability, so an agent cannot tell what single job this tool performs versus siblings like seed_system_dynamics_simulate or seed_system_dynamics_sweep.

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 when-to-use guidance, no prerequisites, and no reference to any of the six sibling tools. The agent must infer from the name alone whether this is the right tool for tuning versus simulating or sweeping.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources