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edgedepthhq

EdgeDepth Research MCP Server

Official
by edgedepthhq

Fetch the next page of a prior scan

next_page
Read-only

Retrieve the next page of scan results by resending the original document and the cursor from the previous response. Ensures consistent data with revision and ETag handling.

Instructions

Continue a prior run_scan by re-sending the SAME document with the opaque cursor from the previous response. Never construct cursors. If X-Dataset-Revision changed since page 1, the data under THIS document changed (e.g. the nightly append) and the result set with it: restart from page 1. The revision is scoped to the document's symbols and window - never compare revisions across different documents. Every page has its own ETag and remains free, including a continuation cache miss. Complete-result counts and summaries remain independent of the page rows. Same counts_by_symbol projection as run_scan; full_counts: true for verbatim bytes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorYesThe opaque page.cursor from the previous response. Never construct or edit it.
documentYesThe EXACT document from the prior run_scan.
full_countsNoTrue returns the engine's verbatim canonical bytes, including every zero-count instrument in counts_by_symbol. Default omits zero-count entries.
if_none_matchNoOptional ETag to revalidate this page.
Behavior5/5

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

Annotations indicate readOnly and openWorld hints, but the description adds substantial behavioral context: cursor handling, revision scoping, ETag details, pricing/free nature, and independence of counts and summaries. This goes well beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is dense but each sentence contributes important operational detail. It is front-loaded with the core action and then presents necessary edge-case handling. Length is appropriate given the complexity, though it could be slightly more concise.

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?

With no output schema, the description compensates by explaining the counts_by_symbol projection, full_counts behavior, and independence of page rows. It covers critical complexities like revision changes and ETags, making the tool sufficiently understandable for an agent.

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 100% with detailed parameter descriptions. The tool description mostly reinforces these (e.g., 'SAME document', 'Never construct cursors') without adding new parameter-level meaning beyond what the schema already provides.

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's purpose: to continue a prior run_scan by re-sending the same document with the opaque cursor. It is specific and distinguishes itself from the sibling run_scan tool.

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

Usage Guidelines5/5

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

It explicitly describes when to use this tool (after a prior run_scan) and provides concrete guidance, such as restarting from page 1 if X-Dataset-Revision changed, and never constructing cursors.

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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