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TechDivar

AI Search Operations MCP for Bing Webmaster

by TechDivar

Extract citable chunks

aeo_extract_citable_chunks
Read-onlyIdempotent

Extract concise standalone definitions and factual passages from a page, each scored by a transparent heuristic to identify citable chunks for AI search optimization.

Instructions

Find concise standalone definitions and factual passages on a page and explain a transparent heuristic score for each.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic webpage URL
limitNo
Behavior4/5

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

Annotations declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false, so this is a safe read/idempotent operation. The description adds a valuable behavioral note: the output includes a 'transparent heuristic score' explaining why each chunk was selected, which goes beyond what a simple 'extract chunks' tool would imply. This transparency about the scoring mechanism is genuinely useful context not present in annotations.

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?

A single, efficient sentence that conveys the core purpose and the key output behavior (transparent heuristic scores). Zero wasted words, front-loaded with the action verb. No filler or redundancy.

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

Completeness4/5

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

For a read-only, idempotent extraction tool with only 2 parameters and no output schema or nested objects, the description covers the essential behavior: what it extracts and that it provides transparent scoring. The main gap is the undocumented limit parameter's semantics, but given the tool's simplicity and strong annotation coverage (safe, read-only, idempotent), the description is reasonably complete.

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?

Schema description coverage is 50%: the url parameter has a description ('Public webpage URL') but limit has only a default value with no description text. The description adds minimal parameter meaning—no mention of what limit controls (number of chunks returned) or how it interacts with the scoring threshold. Baseline 3 applies given partial coverage, but the description doesn't compensate for the undocumented limit parameter.

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 uses a specific verb ('Find') and resource ('concise standalone definitions and factual passages on a page'), clearly stating what the tool extracts. It doesn't explicitly differentiate from siblings, but the AEO sibling family is large; while the 'citable chunks' concept is fairly unique among them, the description doesn't name an alternative. Still clear enough for primary purpose.

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?

No explicit when-to-use or when-not-to-use guidance is given. The description mentions it explains a 'transparent heuristic score' which hints at its distinguishing feature, but it never tells the user when to prefer this over similar AEO tools like aeo_citation_readiness or aeo_ai_readability_audit. Context must be inferred entirely from the tool name and description.

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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