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Semantic Hints MCP

by timotheeiss

Semantic observe

semantic_observe

Retrieve the live compact state of a single hinted HTML element by data-agent-id after a snapshot. Returns clear errors for missing or duplicate elements.

Instructions

Return the current compact value/state of a single hinted element, resolved via [data-agent-id='']. Returns a clear error if no element or multiple elements match. Use after a snapshot to read the live value/state of one element. Returns compact JSON only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe data-agent-id of the element to observe.
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses error conditions for no/multiple matching elements and that output is compact JSON only, which is sufficient for a simple read tool.

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?

Description is concise with no fluff, front-loaded with the core purpose, and every sentence adds value.

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

Completeness5/5

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

Given the tool's simplicity (single parameter, no output schema, no nested objects), the description covers purpose, usage context, error handling, and output format comprehensively.

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?

Schema has 100% coverage including parameter description. Description adds clarity by specifying the attribute used to resolve the element and the single-element constraint, adding meaning beyond the schema.

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

Purpose5/5

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

The description clearly states the tool returns the current compact value/state of a single hinted element using a specific attribute, and differentiates from its sibling by specifying it is used after a snapshot.

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

Usage Guidelines4/5

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

Explicitly says 'Use after a snapshot to read the live value/state of one element', providing clear usage context. It does not explicitly state when not to use it, but the context implies the scope.

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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