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ClaudioLazaro

MCP Datadog Server

get_synthetics_settings_on_demand_concurrency_caps

Retrieve the current concurrency cap settings for on-demand synthetic tests to monitor and manage test execution limits.

Instructions

Get the on-demand concurrency cap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 burden. It states 'Get' implying a read operation, but doesn't disclose behavioral traits like authentication requirements, rate limits, error conditions, or what the return format looks like (e.g., JSON structure). This is a significant gap for a tool with zero annotation coverage.

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

Conciseness5/5

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

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place.

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?

Given the complexity (a read operation with no parameters but no output schema) and lack of annotations, the description is incomplete. It doesn't explain what the tool returns (e.g., cap value, units, format) or any behavioral context, leaving the agent under-informed for proper invocation.

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 has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter semantics, and it doesn't contradict the schema. A baseline of 4 is appropriate as no compensation is 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?

The description clearly states the verb ('Get') and resource ('on-demand concurrency cap'), making the purpose understandable. However, it doesn't specify what 'synthetics settings' refers to or differentiate from sibling tools like 'get_synthetics_settings_default_locations' or 'get_synthetics_tests', which would require examining the sibling list for context.

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. There's no mention of prerequisites, context, or comparison with sibling tools like 'create_synthetics_settings_on_demand_concurrency_caps' or other synthetics-related get tools, leaving the agent without usage direction.

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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