Skip to main content
Glama

Diavgis — Greek Public Procurement

Get Procurement Lifecycle Chain

get_chain
Read-onlyIdempotent

A reconstructed procurement lifecycle chain by chain_id: the linked sequence of related acts (e.g. commitment → award → contract → payments) with confidence and link method. Get a chain_id from the chain_id field of any act. A chain is ONE procurement's lifecycle, not everything an act references: an administrative umbrella cited by more than 25 acts (e.g. one annual expense-approval decision referenced by thousands of a buyer's acts) is deliberately NOT merged, so a chain never swallows a year of unrelated activity. Those references are still published — see the act's own references — they simply do not form a chain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chain_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
membersYes
chain_idYes

TDQS

A4.9/5.0
Behavior5/5

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

Even though annotations already mark the tool as read-only, idempotent, and non-destructive, the description adds meaningful behavioral detail: chains are reconstructed, carry confidence and link method, and deliberately exclude high-fan-out administrative umbrellas. This prevents an agent from wrongly assuming every reference relationship is merged into the chain.

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?

The description is front-loaded with the core definition and chain example, then the source of chain_id, then the important boundary condition. The third sentence is long but earns its place by preventing a costly misuse of the tool. Nothing in the description is redundant with the schema or annotations.

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?

For a one-parameter read tool with an output schema and strong annotations, the description covers the main purpose, how to get the identifier, what the result represents, and a critical exclusion rule. An agent has enough context to invoke it correctly without further investigation.

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?

The schema only defines chain_id as a required string with zero coverage, but the description compensates by explaining where to obtain a valid value: from the chain_id field of any act. It does not give format examples or edge-case guidance, but for a single opaque identifier this is sufficient and actionable.

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 names a specific resource (a reconstructed procurement lifecycle chain), a retrieval action by chain_id, and explicitly contrasts a chain with mere act references, which distinguishes it from sibling tools like get_act. It also gives a concrete example of the chain shape (commitment → award → contract → payments), leaving no ambiguity about what the tool returns.

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 tells the agent exactly when to call it: when you have a chain_id, obtained from the chain_id field of any act. It also explains when not to expect a chain — for broad administrative umbrella references cited by more than 25 acts — and directs the agent to the act's own references instead, which is an explicit alternative routing.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation4/5

Each tool targets a distinct concern: entity resolution, entity profiles, counterparties, rankings, spend aggregates, search, act detail, lifecycle chains, expiring contracts, and quota. Minor overlap exists between get_act and get_chain since get_act can include lifecycle chain data, but the descriptions make the intended primary use clear.

Naming Consistency4/5

All names use snake_case and most follow a verb_noun pattern like find_entity, get_entity, search_tenders, and rank_entities. A few tools such as entity_counterparties and expiring_contracts are noun-phrase names, and spend_by_cpv uses a different structure, so the pattern is mostly consistent but not uniform.

Tool Count5/5

Ten tools is well-scoped for a Greek public procurement data API: the count is large enough to cover discovery, search, entity analytics, spend analytics, lifecycle detail, and quota management without feeling bloated. Each tool appears to earn its place with no obvious redundant duplicates.

Completeness5/5

The tool surface covers the full read-only procurement workflow: resolve names to tax IDs, profile entities, find counterparties, rank entities, search tenders with filters, inspect individual acts, follow lifecycle chains, monitor expiring contracts, and aggregate spend by CPV. There are no major missing operations for the stated purpose.