flyte-mcp

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 discloses a key behavioral trait: 'Prefers V2-native entries (sdk='flyte-sdk') over legacy V1 duplicates,' which adds valuable context about output prioritization. However, it doesn't cover other aspects like response format, error handling, or performance characteristics, leaving gaps for a tool with 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.

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

The description is extremely concise—two sentences with zero waste. The first sentence states the core purpose with examples, and the second adds critical behavioral context. It's front-loaded and every word earns its place, making it easy to parse quickly.

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

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

Given 2 parameters with 0% schema coverage and an output schema exists, the description is moderately complete. It explains the primary parameter and a key behavioral trait, but lacks details on the 'limit' parameter, error cases, or how results are structured. For a suggestion tool with output schema, it's adequate but has clear gaps in parameter and behavioral coverage.

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

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

Schema description coverage is 0%, so the description must compensate. It explains the 'need' parameter with examples ('run Spark', 'connect Snowflake'), clarifying it's a natural-language input. It doesn't mention the 'limit' parameter, but with only 2 parameters and one well-explained, this adds significant value beyond the bare schema, though not fully comprehensive.

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

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

The description clearly states the tool's purpose: 'suggest plugins' for a given natural-language need. It specifies the verb 'suggest' and resource 'plugins', distinguishing it from siblings like 'get_flyte_plugin' or 'list_flyte_plugins' by focusing on recommendation rather than retrieval. However, it doesn't explicitly mention Flyte context, which is implied but could be more specific.

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

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

The description implies usage context through examples ('run Spark', 'connect Snowflake'), suggesting it's for matching needs to plugins. It distinguishes from siblings by focusing on suggestions, but doesn't explicitly state when to use this vs. alternatives like 'list_flyte_plugins' or 'search_flyte_api'. No exclusions or prerequisites are provided.

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