livefpl_transfer_trend_graph

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

With no annotations, the description carries the full burden, and it discloses the return format (PNG), the node-size and arrow-direction semantics, and both color_by behaviors. It does not cover operational traits such as data freshness, network dependency, rate limits, or scale limits on graph rendering, which a no-annotation tool ideally should.

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?

Well-organized: purpose and deliverable first, then chart provenance, then node/edge semantics, then a clean Args/Returns format with defaults. Every sentence earns its place — no filler, and the structure makes the key facts (PNG output, default behavior) easy to scan.

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 a no-annotation, no-output-schema tool with 0% schema coverage, the description covers both parameters fully, the return format, and the visual semantics of the graph. A minor gap is the lack of explicit guidance pointing at the data-only sibling for raw values, but nothing needed to call the tool correctly is missing.

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 fully compensate, and it does. top_n is explained with edge/pair semantics and the node implication, and color_by is documented with both options plus their visual meaning (green/red, position classes). This adds substantial meaning beyond the bare integer/string schema.

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?

States a specific verb and resource: 'Render the FPL transfer trend as a node-link graph IMAGE (PNG).' It conveys a concrete deliverable (a graph image) and is clearly distinct from siblings like livefpl_transfer_trend_data (data) and livefpl_transfer_trend_by_position (position-split). The node/arrow semantics further pin down what the tool does.

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?

Usage context is implied by 'render as image' — the agent can infer it should pick this tool when a visual graph is wanted versus data from livefpl_transfer_trend_data. However, no sibling is named and no explicit when-not-to-use or alternative routing is given, so the guidance is inferred rather than stated.

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