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shelfio

Datadog MCP Server

by shelfio

get_pipeline_fingerprints

Retrieve unique pipeline fingerprints for specific repositories to track CI/CD changes and identify pipeline events over time.

Instructions

Get unique pipeline fingerprints for specific repositories/services

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repositoriesYesList of repository names to get fingerprints for
pipeline_nameNoFilter by specific pipeline name
days_backNoNumber of days to look back (default: 90)
limitNoMaximum number of pipeline events per repository (default: 100)
cursorNoPagination cursor from previous response (for getting next page)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but only states what the tool does without mentioning permissions, rate limits, pagination behavior (beyond the cursor param in schema), or output format. This is inadequate for a tool with 5 parameters and no output schema.

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 that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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 (5 parameters, no output schema, no annotations), the description is incomplete. It lacks details on behavioral traits, output format, and usage context, making it insufficient for an agent to fully understand how to invoke and interpret results effectively.

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?

The schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond implying filtering by repositories/services, which is covered in the schema. This meets the baseline for high schema coverage.

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 action ('Get') and resource ('unique pipeline fingerprints for specific repositories/services'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'list_ci_pipelines' or 'get_logs', which might also retrieve pipeline-related data, so it misses the highest score.

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 like 'list_ci_pipelines' or 'get_logs'. It mentions 'specific repositories/services' but doesn't clarify prerequisites, exclusions, or comparative contexts, leaving usage ambiguous.

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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