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Tabularium Snapshot: tables

tabularium_snapshot_tables

Paid ($0.005 USDC on Base, x402). The tables in a web page, PDF, Word, Excel or CSV file, as JSON, with a signed record. Returns the tables in a web page, PDF, Word, Excel or CSV file as JSON: caption, header row and rows of cells. Rows hidden from people are skipped. Includes the same Ed25519-signed record as fetch, over the exact JSON returned. Charged only when at least one table comes back; a page without tables costs nothing.. Charged only if it succeeds. Call once without payment to get the price, then retry with params._meta["x402/payment"].

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "tabularium_snapshot_tables"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesPublic http(s) page, document or CSV file
max_tablesNoMost tables to return (default 20)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior5/5

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

This is the description's strongest area: it discloses price ($0.005 USDC on Base), payment mechanism, that charging is conditional on at least one table being returned, that rows hidden from people are skipped, and that the returned JSON carries an Ed25519-signed record. These are material behaviors the annotations (readOnlyHint=false, openWorldHint=true) do not convey. Nothing here contradicts the annotations; the payment side effect is consistent with readOnlyHint=false.

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

Conciseness3/5

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

Content is front-loaded with the price and payment flow, which is good, but the text repeats itself almost verbatim ('The tables in a web page, PDF, Word, Excel or CSV file, as JSON' then 'Returns the tables in a web page, PDF, Word, Excel or CSV file as JSON') and duplicates the charging rule twice, including a stray double period. Several sentences do not earn their place, though the remaining ones are clear.

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 paid, open-world extraction tool with only two simple parameters and no output schema, the description covers cost, conditional billing, the payment retry flow, the returned field structure and one filtering rule. It does not cover failure modes (e.g. non-HTML documents, unsupported file types) or selection versus sibling tools, which keeps it short of complete.

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 coverage is 100%, so the baseline would be 3, but the description adds a parameter not present in the schema at all: params._meta["x402/payment"], which is essential to actually making a paid call. It adds no detail on max_tables or URL semantics beyond the schema, so it does not reach 5.

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 names a specific verb and resource — returns the tables in a web page, PDF, Word, Excel or CSV file as JSON with caption, header row and cells. That is concrete and distinguishable from a generic fetch. It only partially differentiates from siblings, referencing the 'same Ed25519-signed record as fetch' rather than stating how it differs from tabularium_read or tabularium_snapshot_fetch.

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

Usage Guidelines3/5

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

The payment protocol is spelled out ('Call once without payment to get the price, then retry with params._meta["x402/payment"]'), which tells an agent how to invoke it. However, there is no statement of when to prefer this tool over tabularium_read or tabularium_snapshot_fetch, and no exclusions. Usage is implied by the output format rather than stated as a routing rule.

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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